A computing system receives a selection of a design parameter to be verified that is associated with deployment of a new radio access network (RAN) site. The computing system retrieves a design value of the design parameter from a design data store and one or more threshold values from design guidelines that constrain the design parameter according to site design rules. In response to the design value not satisfying the one or more threshold values, the computing system determines, based on data associated with other RAN site deployments in an area of interest (AOI) that includes a proposed location for the new RAN site, an updated design value that satisfies the one or more threshold values; and replaces, in the design data store, the design value with the updated design value.
A method includes receiving a first set of performance data from a user equipment within a radio access network, the first set of performance data being associated with a triggering event and including a plurality of parameters associated with the UE connectivity to the RAN, receiving, at the one or more processing devices, from one or more network components within the RAN, a second set of performance data associated with the triggering event, the second set of performance data representing performance of the RAN network, identifying based on the first and second sets of performance data, a root cause for the triggering event, identifying an action to be performed by the UE to address the root cause, and transmitting, by the one or more processing devices, a signal configured to instruct an application on the UE to perform the action to address the identified root cause.
H04L 41/0631 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse des causes profondesGestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse de la corrélation entre les notifications, les alarmes ou les événements en fonction de critères de décision, p. ex. la hiérarchie ou l’analyse temporelle ou arborescente
H04W 24/04 - Configurations pour maintenir l'état de fonctionnement
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
3.
UPLINK SCHEDULING PERFORMANCE AND RESOURCE BLOCK ALLOCATION OF GROUP OF CELLS OPERATING IN SAME OR OVERLAPPING FREQUENCY RANGE
Technologies for resource coordination in a cellular network are described. One method includes: monitoring, by a first base station, a plurality of interference parameters associated with the first base station in the cellular network; determining that a first interference parameter of the plurality of interference parameters satisfies a threshold criterion, wherein the first interference parameter is specific to a first signal; sending, to a plurality of base stations in a group comprising the first base station, a request for information regarding the first signal; receiving, from one or more base stations of the plurality of base stations, the information regarding the first signal; based on the received information, coordinating with the one or more base stations by allocating at least part of a resource block with a schedule for transmitting the first signal; and send the first signal according to the allocation and the schedule.
H04W 72/541 - Critères d’affectation ou de planification des ressources sans fil sur la base de critères de qualité en utilisant le niveau d’interférence
H04W 72/044 - Affectation de ressources sans fil sur la base du type de ressources affectées
H04W 72/27 - Canaux de commande ou signalisation pour la gestion des ressources entre points d’accès
A system and method for maintaining timing synchronization in cellular networks during GPS signal loss is provided. A cloud services router (CSR) receives a primary timing reference from a GPS receiver. Upon detecting loss of the GPS signal, the CSR enters a holdover mode for a predetermined duration, utilizing a first clock class indicating a traceable backup timing source. The CSR generates a backup timing signal using its internal oscillator and provides this to downstream devices. If the GPS signal is restored within the holdover period, normal operation resumes. If the holdover period expires without GPS restoration, the CSR advertises a second clock class indicating a free-run state. The disclosed technique bridges temporary GPS outages without impacting service quality, reducing dropped calls and service interruptions. The holdover duration is configurable, with 30 minutes used in one embodiment as sufficient to outlast typical GPS signal flapping events.
Systems and methods for remotely performing network function updates at cell sites is provided. An example method includes determining, by one or more processors, to perform a network function (NF) update of a NF at one or more cell sites of a cellular network; determining, by the one or more processors, the one or more cell sites to perform the NF update; generating, by the one or more processors, one or more operations to perform the NF update of the NF; establishing, by the one or more processors, one or more connections between an NF update manager and one or more devices at the one or more cell sites determined to perform the NF update, wherein the NF update manager is located remotely from the one or more cell sites; and causing the NF update to be performed at the one or more cell sites.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for modifying subscriber identity module (SIM) profiles at a remote SIM provisioning (RSP) platform. One of the methods includes receiving a request to modify at least one eSIM profile. The request can be received through a user-interface configured to receive user-inputs to modify eSIM profiles stored in a repository. The user-inputs can be related to modifying the eSIM profiles prior to the eSIM profiles being downloaded on corresponding mobile devices. The method includes retrieving the at least one eSIM profile from eSIM profiles in a repository. The method includes modifying at least one element of the at least one eSIM profile in accordance with the request to modify the at least one eSIM profile, and storing the modified eSIM profile for download to a mobile device.
H04W 8/18 - Traitement de données utilisateur ou abonné, p. ex. services faisant l'objet d'un abonnement, préférences utilisateur ou profils utilisateurTransfert de données utilisateur ou abonné
7.
SHARED RADIO UNIT ARCHITECTURES SUPPORTING NON-STATIC TIME DIVISION DUPLEXING
Technologies for shared radio unit (RU) architectures supporting non-static time division duplexing (TDD) are described. One method includes receiving, from a guest operator assigned to a sub-band of a frequency band of a telecommunications network implementing a shared radio unit architecture, a request to modify a downlink to uplink ratio associated with the sub-band to implement time division duplexing, and modifying the downlink to uplink ratio.
Technologies for shared radio unit (RU) architectures supporting non-static time division duplexing (TDD) are described. One method includes dividing, into a plurality of sub-bands, a frequency band of a telecommunications network implementing a shared radio unit architecture, assigning, to each sub-band of the plurality of sub-bands, a respective guest operator of a plurality of guest operator of the telecommunications network, and allocating, for each sub-band assigned to the respective guest operator, at least one type of transmission to a plurality of time slots of the sub-band to implement time division duplexing.
A method includes receiving, at a radio access network (RAN) intelligent controller (RIC), a first set of network performance data from one or more network components within a radio access network (RAN), identifying based on the first set of network performance data, that at least one performance indicator associated with the plurality of operation measurement counters fails to satisfy a corresponding threshold condition, identifying a plurality of user equipment devices as candidate sources of a root cause for the at least one performance indicator failing to satisfy the corresponding threshold condition, receiving, at the RIC, a second set of performance data, identifying one or more user equipment devices, among the plurality of user equipment devices identified as candidate sources of the root cause, likely to cause the at least one performance indicator to fail to satisfy the corresponding threshold condition, and generating a signal configured to trigger a remedial action.
H04L 41/0631 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse des causes profondesGestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse de la corrélation entre les notifications, les alarmes ou les événements en fonction de critères de décision, p. ex. la hiérarchie ou l’analyse temporelle ou arborescente
H04L 41/0659 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant la reprise sur incident de réseau en isolant ou en reconfigurant les entités défectueuses
An apparatus comprises a memory and a processor communicatively coupled to one another. The processor is configured to determine a network resource demand in the communication network. The network resource demand comprises multiple resource assignments in the communication network. Further, the processor is configured to determine whether the network resource demand meets a usage threshold, generate a trigger requesting rescaling of one or more virtual containers in a containerized environment associated with the communication network in response to determining that the network resource demand meets the usage threshold, and generate multiple possible modifications based on the trigger. The possible modifications comprise one or more changes to network resource utilization in the communication network. The processor is configured to rescale the one or more virtual containers in the containerized environment in accordance with the possible modifications.
H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
H04W 28/16 - Gestion centrale des ressourcesNégociation de ressources ou de paramètres de communication, p. ex. négociation de la bande passante ou de la qualité de service [QoS Quality of Service]
Techniques for synchronizing components of a Lower-Layer Split Radio Access Network (RAN) are provided. In one example, a RAN includes a Cell Site Router (CSR). A first Distributed Unit (DU) and a first Radio Unit (RU) managed by the first DU are both connected to the CSR and synchronized to a Primary Reference Time Clock (PRTC) via reference timing information received from the CSR. A second DU connected to the CSR, the first DU, or both, is synchronized to the PRTC via reference timing information received from the CSR or the first DU. A second RU connected to, and managed by, the second DU, is synchronized to the PRTC via reference timing information received from the second DU.
Techniques for synchronizing components of a Lower-Layer Split Radio Access Network (RAN) are provided. In one example, a RAN includes a first Distributed Unit (DU) having: a containerized Cell Site Router (cCSR) that routes user data, control data, or both between the first DU, Radio Units (RUs) of the RAN; and a timing Network Interface Card (NIC) connected to a Global Navigation Satellite System (GNSS) receiver, by which an internal clock of the timing NIC is set. A first RU and a second DU, both connected to the timing NIC of first DU, synchronize their internal clocks to that of the timing NIC using timing information received from the timing NIC.
Approaches are described herein for mitigating non-terrestrial network (NTN) downlink co-channel interference on a terrestrial network (TN) downlink. For example, for any designated times, a TN scheduler can predict locations and orientations for satellites of the NTN and their illuminated beam coverage areas. The TN scheduler can determine interference conditions for each of the designate times by determining instances in which a cell coverage area of the TN is overlapped by one or more of the beam coverage areas and in which the overlapping beam and cell use an implicated sub-band of overlapping downlink frequencies. A spectrum blanking engine can schedule TN bandwidth resources for each of the designated times based on deactivating communications in the implicated sub-bands in the implicated cells according to the interference conditions.
H04L 5/00 - Dispositions destinées à permettre l'usage multiple de la voie de transmission
H04W 72/541 - Critères d’affectation ou de planification des ressources sans fil sur la base de critères de qualité en utilisant le niveau d’interférence
Technologies for dynamic switching of network function (NF) communication models in a cellular network are described. One method include receiving, by a first NF, from a service communication proxy (SCP), a first message during the first NF running in an indirect communication model, wherein the first message indicates a failure of the SCP, and wherein, in the indirect communication model, the first NF and a second NF of a set of second NFs communicate through the SCP; responsive to receiving the first message, switching, by the first NF, from running in the indirect communication model to running in a direct communication model, wherein, in the direct communication model, the first NF and the second NF of the set of second NFs communicate without the SCP; and running the first NF in the direct communication model.
H04L 41/0816 - Réglages de configuration caractérisés par les conditions déclenchant un changement de paramètres la condition étant une adaptation, p. ex. en réponse aux événements dans le réseau
H04L 67/56 - Approvisionnement des services mandataires
15.
DYNAMIC SCALING OF VIRTUAL CONTAINERS IN A CONTAINERIZED ENVIRONMENT
An apparatus comprises a memory and a processor communicatively coupled to one another. The processor is configured to determine network resource availability information in a communication network and execute a machine learning algorithm to analyze the network resource availability information based at least in part upon one or more communication conditions, generate one or more analysis results in response to analyzing the network resource availability information; and generate one or more network assignment recommendations based at least in part upon the plurality of analysis results and historical data. Further, the processor is configured to assign a second plurality of resources in the containerized environment over the second time period and rescale one or more virtual containers in the containerized environment to use the second plurality of resources.
H04W 28/16 - Gestion centrale des ressourcesNégociation de ressources ou de paramètres de communication, p. ex. négociation de la bande passante ou de la qualité de service [QoS Quality of Service]
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
16.
IMPROVE HANDOVER PERFORMANCE IN INTER VENDOR HANDOVER SCENARIO
Technologies for efficient handover in inter vendor handover scenario in a cellular network are described. One method include sending, by a source base station, a handover request to a target base station; exchanging a plurality of handover parameters with the target node; determining whether a matched set of the plurality of handover parameters exists; responsive to determining that the matched set exists, sending a notification regarding the matched set to the target base station; and performing handover with user equipment (UE) using the matched set of the plurality of handover parameters.
An automated patching system for a cloud-based network includes an instance of a network function running on cloud-based hardware. An agent retrieves a baseline and a list of installed software for the instance. A patching function is in communication with the agent and runs at a first scheduled time in response to a first maintenance window starting at the first scheduled time. The first maintenance window comprises a first target list of instances running in a first availability zone. The patching function also runs at a second scheduled time in response to a second maintenance window. The patching function polls the agent to add the instance to the first target list of the first maintenance window. A first task launched by the patching function runs a patching executable that applies a patch to the instance in response to the patch missing from the list of installed software.
A topology-reprogrammable test environment is provided that can support the needs of CI/CD/CV in the field. The system disclosed provides a highly scalable network architecture to simplify the implementation of network slicing, TaaS and network CI/CD, and solves problems related to the complexity of cloud-native network (CNN) deployments. A Network Cell (NC), comprises or consists of a Containerized Network Function (CNF), a Containerized Digital Twin (CDT), and a Containerized Test Agent (CTA). The CDT has at least two personalities, e.g., an emulator of the CNF in the same NC or a nodal of the CNF. The choice of personality of the CDT is controlled by the CTA of the NC. A number of NCs use a 3D IP address to interconnect and form a new kind of CNN over the infrastructure of VRs.
Approaches are described herein for mitigating non-terrestrial network (NTN) downlink co-channel interference on a terrestrial network (TN) downlink. For example, for any designated times, a TN scheduler can predict locations and orientations for satellites of the NTN and their illuminated beam coverage areas. The TN scheduler can determine interference conditions for each of the designate times by determining instances in which a cell coverage area of the TN is overlapped by one or more of the beam coverage areas and in which the overlapping beam and cell use an implicated sub-band of overlapping downlink frequencies. A spectrum blanking engine can schedule TN bandwidth resources for each of the designated times based on deactivating communications in the implicated sub-bands in the implicated cells according to the interference conditions.
Technologies for efficient handover in inter vendor handover scenario in a cellular network are described. One method include sending, by a source base station, a handover request to a target base station; exchanging a plurality of handover parameters with the target node; determining whether a matched set of the plurality of handover parameters exists; responsive to determining that the matched set exists, sending a notification regarding the matched set to the target base station; and performing handover with user equipment (UE) using the matched set of the plurality of handover parameters.
Systems, devices and automated processes automatically and intelligently assign radio units (RUs) to distributed units (DUs) available within a virtualized pool in an Open RAN network. RUs can be intelligently paired with an available DU using an affinity and/or anti-affinity rule set, if desired. RUs can be assigned to create or to avoid geographic and/or spectrum overlap, thereby minimizing potential outage areas during maintenance periods, reducing interference, improving network coverage and/or any number of other purposes. Automatic assignment of RUs to DUs can be performed by control logic at a data center or elsewhere within the network and may be repeated as needed to support changing conditions and/or as otherwise needed to improve the robustness and flexibility of the Open RAN network.
Systems and methods to dynamically transfer user equipment (UE) within telecommunication networks using a roaming model. One system may include a processing system comprising one or more electronic processors. The processing system may be configured to access first network data for a cell of a home network servicing a set of UE. The processing system may be configured to determine, based on the first network data, whether a first condition of the roaming model is satisfied. The processing system may be configured to, responsive to the first condition being satisfied, facilitate a first transfer of the set of UE from the home network to a partner network, and control a plurality of network resources for the cell of the home network.
Technologies for implementing statistical representations of tower structures in a cellular network are described. One method include receiving, by a processing device, a plurality of images of a tower structure in a cellular network; extracting a plurality of data points from the plurality of images, wherein the plurality of data points reflects a three-dimensional visual representation of the tower structure; generating, using the plurality of points, a statistical representation of the tower structure; and identifying, using the statistical representation, one or more patterns associated with the tower structure.
Systems and methods for dynamically selecting location source data to improve overall location accuracy compliance for location-based services of network user devices. Horizontal location data and vertical location data for the user device are obtained from multiple sources. A horizontal location uncertainty and a vertical location uncertainty are determined or obtained for each source. An a-posteriori horizontal compliance is determined for each corresponding source based on a combination of an a-priori horizontal compliance and a horizontal compliance value representing compliance of the horizontal location uncertainty for the corresponding source. An a-posteriori vertical compliance is determined for each corresponding source based on a combination of an a-priori vertical compliance and a vertical compliance value representing compliance of the vertical location uncertainty for the corresponding source. The sources are then down-selected based on the a-posteriori horizontal and vertical compliances for each corresponding source in view of horizontal and vertical compliance thresholds.
Systems and methods for managing downlink (DL) and uplink (UL) operations in wireless telecommunication systems are disclosed that facilitate the coexistence of narrowband-Internet of Things (NB-IoT) and Fifth Generation (5G) New Radio (NR) operations within the same frequency bands. The system partitions carrier bandwidths (BW) to isolate NB-IoT from 5G NR operations, reducing interference. For DL, a portion of the BW is designated for NB-IoT, while the rest is for 5G NR. For UL, protection frequencies are determined to avoid interference with critical satellite communications, such as NOAA satellites, with blanking applied when satellites are overhead. The system supports various carrier bandwidths and includes dynamic detection and blanking methods to optimize spectrum use and protect essential frequencies.
Systems and methods of managing communication sessions perform or comprise receiving, at a first network node associated with an AMF, a path switch request, the path switch request indicating a handover request for a UE from a first to a second gNB, wherein the UE is associated with a RAN identifier corresponding to a communication session between the UE and the first gNB and an AMF identifier corresponding to a communication session between the UE and the AMF; determining whether the AMF identifier is associated with another RAN identifier; and in response to a determination that the AMF identifier is not associated with another RAN identifier, causing the second gNB to issue a UE context release request to the first network node to cause the first network node to terminate all communication sessions associated with the AMF identifier.
Systems and methods for managing downlink (DL) and uplink (UL) operations in wireless telecommunication systems are disclosed that facilitate the coexistence of narrowband-Internet of Things (NB-IoT) and Fifth Generation (5G) New Radio (NR) operations within the same frequency bands. The system partitions carrier bandwidths (BW) to isolate NB-IoT from 5G NR operations, reducing interference. For DL, a portion of the BW is designated for NB-IoT, while the rest is for 5G NR. For UL, protection frequencies are determined to avoid interference with critical satellite communications, such as NOAA satellites, with blanking applied when satellites are overhead. Two main techniques for managing UL operations are provided: a baseline technique and an operationally efficient technique. The system supports various carrier bandwidths and includes dynamic detection and blanking methods to optimize spectrum use and protect essential frequencies.
Systems and methods of scheduling traffic perform or comprise receiving a data frame, the data frame including a series of timeslots ordered according to an unordered schedule, wherein the series of timeslots includes at least two noncontiguous groups of data timeslots; calculating a revised schedule for the data frame, wherein the revised schedule differs from the unordered schedule in at least one of a time domain characteristic or a frequency domain characteristic; rearranging the timeslots of the data frame according to the revised schedule in at least one of the time domain or the frequency domain, such that the revised schedule includes fewer transmission periods than the unordered schedule; and causing a transmitter of the telecommunications network to transmit the data frame according to the revised schedule.
Systems and methods for Distributed Unit (DU) pooling in ORAN wireless telecommunication networks are disclosed. The system generates multiple virtualized DU instances (vDUs) within a baseband cloud to form an ORAN vDU pool. Baseband processing resources are dynamically shared among cell sites served by respective vDUs within the pool by reallocating idle processing capacities from vDUs serving underutilized cell sites to vDUs serving cell sites with higher traffic demands. The vDUs share common physical server resources, enabling multiple Radio Access Network (RAN) services to run on shared hardware. The system enables efficient resource utilization, enhanced network scalability, and supports multiple cell sites with varying traffic patterns using shared resources.
An example system and method may manage interference for wireless devices in a non-terrestrial network environment. An example system may determine spectrum blanking ranges for a wireless client device, where the spectrum blanking range restricts wireless frequencies in the spectrum blanking range from being assigned to wireless client devices by ground node. The system may determine a signal quality indicator value for a wireless client device, determine an assignable spectrum range for the wireless client device based on the signal quality indicator value and the spectrum blanking range(s), and assign a channel to the wireless client device using the assignable spectrum range.
A method of updating a registered location for emergency calls may include receiving, by a computing device, a trigger corresponding to a particular location. The method may include generating, by the computing device, a prompt to update a registered location for display by the computing device. The method may include receiving, by the computing device, an input via the prompt, indicating that the registered location is to be updated to include the particular location. The method may include accessing, by the computing device, current location data associated with the computing device. The method may include determining, by the computing device, whether or not the current location data corresponds to the particular location. In response to determining that the current location data corresponds to the particular location, the method may include updating, by the computing device, the registered location such that the particular is the registered location.
H04W 60/04 - Rattachement à un réseau, p. ex. enregistrementSuppression du rattachement à un réseau, p. ex. annulation de l'enregistrement utilisant des événements déclenchés
H04W 64/00 - Localisation d'utilisateurs ou de terminaux pour la gestion du réseau, p. ex. gestion de la mobilité
H04W 76/50 - Gestion de la connexion pour les connexions d'urgence
32.
RESOURCE MANAGEMENT FOR RADIO ACCESS NETWORK UTILIZING VIRTUALIZED DISTRIBUTED UNITS
A method and system for managing shared resources in Radio Access Networks (RANs) involve managing resource distribution among network resources using virtual Distributed Units (DUs) and a Media Access Control (MAC) layer. The resources are scheduled jointly with a schedular, and a Virtual Machine (VM) hosts the virtual DUs and the schedular on a physical DU. The VM facilitates the sharing of the physical DU between the virtual DUs. Network resources include operator cores or Centralized Unit-Control Planes (CU-CPs) connected to the virtual DUs, and potentially a Radio Unit (RU). The schedular can dynamically share physical DU resources and reserve bandwidth for the virtual DUs, adjusting allocations as needed.
Technologies for providing insight data from an edge of a cellular network are described. One method includes first probe data in association with one or more components of the network. The method further includes providing the first probe data to a first model configured to determine first summary data based on the first probe data. The method further includes determining that the first summary data has been requested by a first northbound application. The method further includes providing the first summary data to a central server responsive to determining that the first summary data has been requested by the first northbound application.
H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
A method for providing a configuration update to a plurality of network functions of a predetermined network function type in a communication network includes receiving a selection of a master network function from the plurality of network functions of the predetermined network function type. The method further includes applying the configuration update to the master network function and providing the configuration update from the master network function to a set of slave network functions from the plurality of network functions of the predetermined network function type. The method further includes receiving a status of the configuration update for each of the slave network functions and displaying the status of the configuration update for each of the slave network functions.
H04L 41/0823 - Réglages de configuration caractérisés par les objectifs d’un changement de paramètres, p. ex. l’optimisation de la configuration pour améliorer la fiabilité
H04L 41/08 - Gestion de la configuration des réseaux ou des éléments de réseau
H04L 41/22 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets comprenant des interfaces utilisateur graphiques spécialement adaptées [GUI]
35.
RESOURCE MANAGEMENT FOR RADIO ACCESS NETWORK UTILIZING VIRTUALIZED DISTRIBUTED UNITS
A method and system for managing shared resources in Radio Access Networks (RANs) involve managing resource distribution among network resources using virtual Distributed Units (DUs) and a Media Access Control (MAC) layer. The resources are scheduled jointly with a schedular, and a Virtual Machine (VM) hosts the virtual DUs and the schedular on a physical DU. The VM facilitates the sharing of the physical DU between the virtual DUs. Network resources include operator cores or Centralized Unit-Control Planes (CU-CPs) connected to the virtual DUs, and potentially a Radio Unit (RU). The schedular can dynamically share physical DU resources and reserve bandwidth for the virtual DUs, adjusting allocations as needed.
A method of automatically updating active registered locations for use in emergency calls may include determining, by a computing device, a current location of the computing device based at least in part on sensors of the computing device. The method may include accessing, by the computing device, data indicating each of a plurality of registered locations and an active registered location associated with the computing device. The method may include determining, by the computing device, that the current location corresponds to a second registered location, different than the active registered location. The method may include updating, by the computing device, the active registered location to indicate the current location.
Systems and methods for implementing parallel software instances in Open Radio Access Network (O-RAN) with disaggregated hardware and software in a cellular network are disclosed. One such method includes: initiating a first instance of a DU of a RAN on a first portion of a plurality of core processors in the cellular network; initiating a second instance of the DU of the RAN on a second portion of the plurality of core processors in the cellular network, wherein the first portion of the plurality of core processors is distinct from the second portion of the plurality of core processors; running the first instance of the DU of the RAN concurrently with the second instance of the DU of the RAN in the cellular network; and swapping the active instance from the first instance of the DU of the RAN with the second instance of the DU of the RAN.
Techniques are provided that allow a user device to connect to a web browser for viewing one or more websites. The web browser is communicably connected to a platform that takes the data from the user's online behavior and generates a personal data package of the user. In other aspects, the web browser has added the capabilities of generating the personal data package of the user as an add-on product. In other aspects, an individual or organization is also communicably connected to the platform or add-on product for accessing the user's personal data package. After accessing the user's personal data package, the individual or organization is able to pay the user via a financial institution, which is communicably connected to the platform or add-on product. In other aspects, the user data is stored in a storage on the platform and such data is available to one or more third-party subscribers.
Technologies for shared radio unit architectures supporting flexible channel bandwidth allocation are described. One method includes receiving, from a guest operator of a plurality of guest operators of a telecommunications network, a request for resources from a host operator, wherein each guest operator of the plurality of guest operators shares a radio unit provided by the host operator, determining whether the request for resources is satisfiable based on a current resource allocation for the guest operator, and in response to determining that the request for resources is not satisfiable based on the current resource allocation, allocating additional resources to the guest operator, wherein the additional resources are obtained from one or more additional guest operators of the plurality of guest operators.
H04W 16/14 - Dispositions de partage du spectre de fréquence
H04W 28/16 - Gestion centrale des ressourcesNégociation de ressources ou de paramètres de communication, p. ex. négociation de la bande passante ou de la qualité de service [QoS Quality of Service]
H04W 72/20 - Canaux de commande ou signalisation pour la gestion des ressources
40.
SHARED RADIO UNIT ARCHITECTURES SUPPORTING DYNAMIC TEMPORARY RESOURCE ALLOCATION
Technologies for shared radio unit architectures supporting dynamic temporary resource allocation are described. One method includes identifying unused resources to be temporarily provided by a source guest operator of a plurality of guest operators of a telecommunications network, wherein each guest operator of the plurality of guest operators shares a radio unit provided by a host operator of the telecommunications network, identifying at least one destination guest operator of the telecommunications network, and temporarily allocating at least a portion of the unused resources to the at least one destination guest operator.
H04W 16/14 - Dispositions de partage du spectre de fréquence
H04W 28/16 - Gestion centrale des ressourcesNégociation de ressources ou de paramètres de communication, p. ex. négociation de la bande passante ou de la qualité de service [QoS Quality of Service]
41.
BLOCKCHAIN-BASED SYSTEM FOR REESTABLISHING SEQUENCING AFTER CONNECTION LOSS BETWEEN DISTRIBUTED SUBSCRIBER DATABASE AND A NETWORK CORE
Embodiments are directed towards systems and methods for reestablishing sequencing after connection loss. One such method including: recording authentication sequence numbers from the Distributed Subscriber Database to the distributed 5G Cores using a distributed ledger of a blockchain; in response to a lost connection between a 5G Core of the plurality of 5G Cores and the Distributed Subscriber Database, enabling the 5G Core to operate from a local copy of the Distributed Subscriber Database; reconnecting the lost connection between the 5G Core of the plurality of 5G Cores and the Distributed Subscriber Database; accessing the recorded sequence numbers from the Distributed Subscriber Database using the distributed ledger of the blockchain; and obviating the number sequencing issue between the Distributed Subscriber Database and the reconnected 5G Core of the plurality of 5G Cores using the recorded authentication sequence numbers in the distributed ledger of the blockchain.
Technologies for dynamic scaling of user plane function (UPF) resources in a cellular network are described. One method include monitoring a plurality of parameters associated with a user plane function (UPF) in the cellular network, the plurality of parameters being associated with a demand on performance of the UPF; dynamically determining, based on the plurality of parameters, a value of a resource parameter of the UPF; and adjusting one or more resources of the UPF according to the value of the resource parameter.
Techniques are described for enhancing microcell (e.g., cellular) performance in environments with diverse and dynamic network demands. For example, microcells equipped with distributed units (DUs) and intelligent controllers leverage machine learning (ML) to anticipate and respond to network conditions. Features include predictive user equipment (UE) reallocation, beamforming for targeted signal optimization, and coordinated multipoint communication (CoMP) to expand coverage and reduce interference. Microcells dynamically adjust configurations to maintain quality of service (QoS), prioritize critical UEs based on service level agreements (SLAs), and optimize resource allocation. Additionally, microcells adapt to low-demand periods by reducing power consumption or forming virtual multi-cells to mitigate co-channel interference.
H04B 7/024 - Utilisation coopérative d’antennes sur plusieurs sites, p. ex. dans les systèmes à plusieurs points coordonnés ou dans les systèmes coopératifs à "plusieurs entrées plusieurs sorties" [MIMO]
H04B 7/06 - Systèmes de diversitéSystèmes à plusieurs antennes, c.-à-d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission
H04W 52/14 - Analyse séparée de la liaison montante ou de la liaison descendante
H04W 52/24 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué selon des paramètres spécifiques utilisant le rapport signal sur parasite [SIR Signal to Interference Ratio] ou d'autres paramètres de trajet sans fil
H04W 52/40 - Commande de puissance d'émission [TPC Transmission power control] le TPC étant effectué dans des situations particulières en macrodiversité ou en transfert progressif
H04W 72/541 - Critères d’affectation ou de planification des ressources sans fil sur la base de critères de qualité en utilisant le niveau d’interférence
44.
Per-User Automated Dynamic Control of a Microcell Network
Techniques are described for enhancing microcell (e.g., cellular) performance in environments with diverse and dynamic network demands. For example, microcells equipped with distributed units (DUs) and intelligent controllers leverage machine learning (ML) to anticipate and respond to network conditions. Microcells dynamically adjust configurations to maintain quality of service (QOS), prioritize critical UEs based on service level agreements (SLAs), and optimize resource allocation.
H04W 28/02 - Gestion du trafic, p. ex. régulation de flux ou d'encombrement
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04L 41/5009 - Détermination des paramètres de rendement du niveau de service ou violations des contrats de niveau de service, p. ex. violations du temps de réponse convenu ou du temps moyen entre l’échec [MTBF]
H04W 24/10 - Planification des comptes-rendus de mesures
45.
Co-Channel Interference Measurement and Mitigation in a Microcell Network
Techniques are described for enhancing microcell (e.g., cellular) performance in environments with diverse and dynamic network demands. For example, microcells equipped with distributed units (DUs) and intelligent controllers leverage machine learning (ML) to anticipate and respond to network conditions. Features include predictive user equipment (UE) reallocation, beamforming for targeted signal optimization, and coordinated multipoint communication (COMP) to expand coverage and reduce interference. Microcells dynamically adjust configurations to maintain quality of service (QOS), prioritize critical UEs based on service level agreements (SLAs), and optimize resource allocation. Additionally, microcells adapt to low-demand periods by reducing power consumption or forming virtual multi-cells to mitigate co-channel interference.
Techniques are described for enhancing microcell (e.g., cellular) performance in environments with diverse and dynamic network demands. For example, microcells equipped with distributed units (DUs) and intelligent controllers leverage machine learning (ML) to anticipate and respond to network conditions. Features include predictive user equipment (UE) reallocation and beamforming for targeted signal optimization. Microcells dynamically adjust configurations to maintain quality of service (QoS), prioritize critical UEs based on service level agreements (SLAs), and optimize resource allocation.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04W 28/24 - Négociation de l'agrément du niveau de service [SLA Service Level Agreement]Négociation de la qualité de service [QoS Quality of Service]
47.
BLOCKCHAIN-BASED SYSTEM THAT RECORDS THE STATES OF END USER MOBILE DEVICES USING THE DISTRIBUTED LEDGER
Embodiments are directed towards systems and methods for implementing a blockchain-based state database using a distributed ledger. One such method includes: recording states of one or more 5G end user mobile devices in any 5G network RAN or Core element in a state database using the distributed ledger of the blockchain; in response to a lost connection of a network element, restoring, using the blockchain database, the lost connection of the network element to the network without any interaction with the 5G end user mobile device; accessing the recorded states of the one or more 5G end user mobile devices in the state database on the distributed ledger of the blockchain; and reestablishing the recorded states of the one or more 5G end user mobile devices using the recorded states from the state database in the distributed ledger of the blockchain.
Systems and methods for Service Data Adaptation Protocol (SDAP) and Quality of Service (QoS) based proactive scheduling for UpLink (UL) transmission grants. One such method includes: determining, using a primary gNB that acts as a scheduler, which UEs are in an idle mode and which UEs are in a connected mode; mapping, using SDAP layers, the QoS flow to Data Radio Bearers (DRBs) from the primary gNB for UEs that are in the connected mode, wherein QoS flow packets are classified and marked using a QoS flow identifier (QFI); targeting, using the scheduler, UEs with a higher priority QFI for selection before UEs with a lower priority QFI; providing proactive grants of UL transmissions to the selected UEs with a higher priority QFI; and providing grants of UL transmissions to the UEs with a lower priority QFI using dynamic scheduling.
H04W 72/1268 - Jumelage du trafic à la planification, p. ex. affectation planifiée ou multiplexage de flux de flux de données en liaison ascendante
H04W 72/566 - Critères d’affectation ou de planification des ressources sans fil sur la base de critères de priorité de l’information, de la source d’information ou du destinataire
A system and method that detects initiation of a triggering event associated with a coverage area having a plurality of macrosites. The system and method further activate an auxiliary power source at each of a predetermined number of selected macrosites, the selected macrosites being ones of the plurality of macrosites. A number of the plurality of macrosites is greater than the predetermined number of selected macrosites. The system and method further include temporarily disabling at least one macrosite other than the selected macrosites.
A computing device, method, and computer readable media that provide radio access network improvements or optimization. A data port of a computing device receives communication data wirelessly communicated between wireless devices and a node in a telecommunications infrastructure, and receives a batch of operational parameters for the node. A processor in communication with the data port provides the communication data to a trained model configured to classify devices. The processor further obtains, from the trained model when the processor applies the communication data to the trained model, a classification for each of the wireless devices including a device type and a mobility state for each of the wireless devices. The processor further generates, based on the classifications, an adjustment for the batch of operational parameters.
A data center system and method for profile generation for a telecommunications infrastructure is provided. The data center system includes a data port to receive, from a component of a core network in a telecommunications infrastructure, data that is based on wireless communications of wireless devices over a radio access network in the telecommunications infrastructure. A controller of the data center system controls, when the port receives the data, an artificial intelligence model to perform an analysis on the data. The controller further generates, from a result of the analysis, a profile for a geographic region in the radio access network.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
Implementations are described herein for network testing using machine learning. In some implementations, a testing system receives a user input regarding a test of a wireless communication system. The testing system identifies, based on the user input, user information and repository information, wherein the user information comprises an intent of the user input and the repository information comprises configuration information that is based on one or more historical tests of the wireless communication system. The testing system determines, based on the user input, the user information, and the repository information, a testing resource for the test of the wireless communication system. The testing system initiates the test of the wireless communication system using the testing resource.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
Implementations are described herein for network testing using machine learning. In some implementations, a testing system receives an indication of a test failure associated with a test of a wireless communication system. The testing system stores one or more packet capture files associated with the test failure. A machine learning model associated with the testing system performs a root cause analysis of the test failure using the one or more packet capture files. The testing system determines a configuration update for the wireless communication system based on a result of the root cause analysis. The testing system generates an output that indicates the configuration update.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04W 24/02 - Dispositions pour optimiser l'état de fonctionnement
A method and system for providing network services in a region involves managing handovers (HO) between a source Public Land Mobile Network (PLMN) and a target PLMN. User Equipment (UE) receives radio signals from both PLMNs and receives/determines at least a Signal to Interference & Noise Ratio (SINR) and Reference Signal Received Power (RSRP) of the radio signal. A determination is made whether a HO is permitted or prohibited based on whether the target RSRP and SINRs from both PLMNs exceed certain thresholds. Additional criteria for permitting or prohibiting HO include cell load conditions. Predictive models, potentially using Artificial Intelligence/Machine Learning (AI/ML), may predict HOs based on roaming data. The PLMNs may operate across various cellular technologies, including GSM/2G, UMTS/3G, LTE/4G, or NR/5G.
H04W 36/32 - La resélection étant déclenchée par des paramètres spécifiques par des données de localisation ou de mobilité, p. ex. des données de vitesse
H04W 84/04 - Réseaux à grande échelleRéseaux fortement hiérarchisés
Implementations are described herein for network testing using machine learning. In some implementations, a testing system receives a user input regarding a test of a wireless communication system. The testing system receives a user input regarding a test of a wireless communication system, the user input indicating to test an interoperability between an interface in the wireless communication system and one or more components in the wireless communication system. The testing system determines, based on the user input, one or more parameters for the test of the wireless communication system. The testing system generates, based on performing the test of the wireless communication system using the one or more parameters, an output that indicates the interoperability between the interface and the one or more components.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
Example embodiments are directed towards systems and methods for a fifth generation (5G) cloud-native wireless telecommunication network operated by a mobile network operator (MNO) implemented on a public cloud of a cloud computing service provider. Such a method may include the MNO operating telecommunication network functions (NFs) of the 5G wireless telecommunication network running within the public cloud. An indication may be received that one or more of the NFs of the 5G wireless telecommunication network running within the public cloud has a requirement to connect to another communication service provider (CSP) network different than the 5G cloud-native wireless telecommunication network operated by the MNO. Based on the indication, the system causes an autonomous system number (ASN) of the MNO to be used for network traffic from the one or more NFs to the other CSP network instead of an ASN of the cloud computing service providers.
H04W 28/084 - Équilibrage ou répartition des charges entre les entités de virtualisation des fonctions de réseau [NFV]Équilibrage ou répartition des charges entre les entités de calcul en périphérie, p. ex. calcul en périphérie multi-accès
H04W 28/08 - Équilibrage ou répartition des charges
H04W 28/086 - Équilibrage ou répartition des charges entre les entités d’accès
A disclosed method may include (i) generating, at a first time, a first bitmap where each bit of the first bitmap indicates a pass or fail for a respective health check test in a series of health check tests testing a cellular service network, (ii) generating, at a second time, a second bitmap where each bit of the second bitmap indicates a pass or fail for a corresponding respective health check test in the same series of health check tests testing the cellular service network, and (iii) remediating a network problem indicated by detecting that a first result of a data integrity function executed on the first bitmap does not match a second result of the same data integrity function executed on the second bitmap.
Disclosed is a method of operating a Radio Access Network (RAN) including a Radio Unit (RU), a first Distributed Unit (DU), a second DU that functions as a dynamic standby DU, and a network management device. After the RU transmits data to the first DU using a configuration parameter set to an address of the first DU, the RU detects an outage of the first DU. In response to detecting the outage, the RU transmits to the network management device a message indicating detection of the outage. In response, the network management device configures the second DU to perform the functions of the first DU, and causes the second DU to request the RU to set the configuration parameter to an address of the second DU. The RU then uses the configuration parameter set to the address of the second DU to transmit data to the second DU.
The method and system for transmitting data involves the use of a FM radio signal to transmit a data stream. The data stream is embedded in the FM radio signal and is encrypted using an encryption key. The encrypted data stream is then decoded using a decryption key, allowing an authorized user to access the data stream. The data stream can be a security feed, and the authorized user can be an emergency responder such as a firefighter, policeperson, or EMT. The system also includes a device for transmitting and receiving the radio signal. The teachings provide a secure and efficient means of transmitting data over FM radio signals, ensuring confidentiality and accessibility for authorized users.
H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
60.
ENERGY EFFICIENT FOR MASSIVE AND EXTREME MASSIVE MULTIPLE-INPUT MULTIPLE-OUTPUT (MMIMO) SYSTEMS
Technologies for providing energy efficiency technology in extreme mMIMO systems in a cellular network cellular network (e.g., 5G wireless network, 6G wireless network) are described. The method collects data representing conditions for potential energy saving (ES) modes, comprising morphology data and traffic pattern data. The method determines, using the collected data, one or more energy saving (ES) modes for one or more components of a cellular network in at least one of a time (T) domain, a frequency (F) domain, or a space (S) domain, wherein the one or more ES modes cause at least one adjustment to the one or more components in the at least one of the time (T) domain, the frequency (F) domain, or the space (S) domain.
H04B 7/06 - Systèmes de diversitéSystèmes à plusieurs antennes, c.-à-d. émission ou réception utilisant plusieurs antennes utilisant plusieurs antennes indépendantes espacées à la station d'émission
A non-terrestrial cellular network system and associated methods are provided. A satellite, comprising a radio unit (RU), can function as part of a cellular network. The system can include a gateway system, comprising a distributed unit (DU) and a configuration manager. The configuration manager can be configured to determine and analyze a characteristic of the non-terrestrial cellular network system. One or more updated parameters can be transmitted to the RU of the satellite in response to analyzing the characteristic. The RU of the satellite is configured to update functionality based on the one or more updated parameters.
Systems, methods, and devices automatically remediate denial-of-service (DOS) attacks on a 5G data and telephone network. An example process counts a number of dynamic ports assigned to a service running on a virtualized resource of the 5G data and telephone network. The process determines whether the number of dynamic ports assigned to the service of the 5G data and telephone network is greater than a first threshold. A processor load of the service running on the virtualized resource of the 5G data and telephone network is retrieved. The processor load of the service may be less than a second threshold, indicating a DOS attack in the 5G data and telephone network. The DOS attack is remediated by taking an action on the host operating system of the virtualized resource of the 5G data and telephone network.
G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p. ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
H04L 41/40 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant la virtualisation des fonctions réseau ou ressources, p. ex. entités SDN ou NFV
63.
FAILOVER OF CLOUD-NATIVE NETWORK FUNCTIONS WITHIN NODE GROUPS FOR HIGH AVAILABILITY IN A WIRELESS TELECOMMUNICATION NETWORK
Example embodiments are directed towards detecting a failure of a fifth-generation New Radio (5G NR) cellular telecommunication network containerized network function (CNF) running within a dedicated node group of cloud compute instances hosting a plurality of CNFs of a wireless telecommunication service provider or a failure of a specific cloud compute instance hosting the CNF within the node group. In response to the detection of a failure of the CNF within the node group or a failure of the specific cloud compute instance hosting the CNF within the node group, automatically switching to host the CNF on a spare cloud compute instance within the node group dedicated to the wireless telecommunication service provider and pre-provisioned to host CNFs of a same type as the CNF for the wireless telecommunication service provider.
H04L 41/0631 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse des causes profondesGestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse de la corrélation entre les notifications, les alarmes ou les événements en fonction de critères de décision, p. ex. la hiérarchie ou l’analyse temporelle ou arborescente
H04W 24/04 - Configurations pour maintenir l'état de fonctionnement
64.
SYSTEM AND METHOD FOR ENHANCED PRACH CONFIGURATION AND IMPROVED PREAMBLE SUCCESS RATE
Systems and methods for enhanced PRACH 5G configuration by preventing interference with signal transmission. One such method includes: implementing a PRACH configuration in which the same root sequence index (RSI) is utilized across the sectors of the site, implementing the PRACH configuration in which a time shift is utilized for each preamble that provides each preamble with its own time slot, enabling multiple UEs to each send a preamble that is time shifted to arrive at the gNB at different times and avoid a RAPID (Random Access Preamble Identifier) mismatch, and receiving preambles that are frequency shifted and reducing PRACH interference among different sectors that causes a degradation of PRACH performance using shifts in time domain.
Various arrangements of a cellular network communication system and related methods are presented herein. A primary access point includes a cellular interface through which a cellular backhaul communication channel is established with a secondary access point. The secondary access point includes a cellular interface through which UE communicate, via the cellular network communication protocol, with the secondary access point and access the wired high speed network connection. The secondary access point further includes a cellular interface through which the cellular backhaul communication channel is established with the primary access point using the cellular network communication protocol.
An apparatus comprises a memory and a processor communicatively coupled to one another. The processor is configured to, in response to receiving an architecture roadmap comprising one or more operational tasks, execute the machine learning algorithm to evaluate the operational tasks associated with the architecture roadmap in accordance with one or more machine learning models, and assign the operational tasks to an evaluation group comprising one or more reviewing entities. The processor is configured to receive a status update from the evaluation group. The status update indicates whether the operational tasks are performed within the time period. The processor is configured to determine whether the operational tasks are performed within the time period, generate a report referencing that the evaluation group completed the operational tasks in response to determining that the operational tasks are performed within the time period, and transmit the report to a data aggregator.
Arrangements detailed herein are directed to a requirement test system for a cellular network. Arrangements allow for technical requirements from digitized documents to be extracted. Each of the technical requirements are mapped in a technical requirement repository to at least one cellular network test to be performed on the cellular network. The execution of the cellular network test is performed to determine compliance with the technical requirements extracted from the digitized document.
G06V 30/246 - Division des suites de caractères en groupes avant la reconnaissanceSélection des dictionnaires utilisant des propriétés linguistiques, p. ex. spécifiques à la langue anglaise ou à la langue allemande
H04W 84/02 - Réseaux pré-organisés hiérarchiquement, p. ex. réseaux de messagerie, réseaux cellulaires, réseaux locaux sans fil [WLAN Wireless Local Area Network] ou boucles locales sans fil [WLL Wireless Local Loop]
68.
TRACKING CALL METRICS IN A RADIO ACCESS NETWORK (RAN)
A computer-implemented method for tracking calls attempted or established between a mobile device and a radio access network includes: receiving, using a first function registered with an operating system of a mobile device, information indicative of a transition of a call state associated with a voice call associated with the mobile device from a first state to a second state, determining, based on the information, that the first state is an active state and the second state is a disconnected state, responsive to determining that the first state is an active state and the second state is a disconnected state, receiving, using a second function registered with the operating system, information indicative of a reason for disconnection of the voice call, and identify, based on the information indicative of the reason for the disconnection of the voice call, a device-side issue responsible for the disconnection of the voice call.
An apparatus comprises a memory and a processor communicatively coupled to one another. The processor is configured to, in response to receiving an order to generate a request, execute a machine learning algorithm to evaluate one or more guidelines associated with the request in accordance with one or more machine learning models and determine one or more knowledge areas based on the guidelines. Further, the processor is configured to determine first entry fields relating to a first knowledge area of a knowledge areas and determine second entry fields relating to a second knowledge area of a knowledge areas. The processor is configured to generate the request comprising the first entry fields and the second fields and transmit the request to a data aggregator configured to compile the information associated with the communication device type.
An apparatus comprises a memory and a processor communicatively coupled to one another. The processor is configured to, in response to receiving an order to generate a request, execute a machine learning algorithm to evaluate one or more input fields associated with a response in accordance with one or more machine learning models and determine one or more evaluation domains based on the input fields. The processor is configured to determine a first priority order relating to first operational tasks, determine a second priority order relating to second operational tasks, generate an architecture roadmap comprising the first operational tasks and the second operational tasks, and transmit the architecture roadmap to one or more reviewing entities. The first priority order is greater than the second priority order. The architecture roadmap is a plan to perform the first operational tasks and the second operational tasks over a time period.
Various embodiments of a cellular network communication system are presented herein. Embodiments can include a primary access point that includes a wired high speed network connection and one or more cellular interfaces through which a cellular backhaul communication channel is established between a secondary access point and the primary access point using a cellular network communication protocol. The primary access point can provide gNodeB functionality to the secondary access point. The system can also include the secondary access point, which can include one or more cellular interfaces through which user equipment (UE) communicate, via the cellular network communication protocol, with the secondary access point. The secondary access point can provide gNodeB functionality to the UE accessing the secondary access point.
Cross Link Interference (CLI) within a wireless network is mitigated by characterizing a communication path that introduces the CLI on an uplink resource. Mitigation is achieved by receiving, from a neighboring device, information related to a downlink resource scheduling decision. The neighboring device then delays its downlink resource transmission. Transmissions received on an uplink resource may then be corrected.
The system obtains data associated with UE, representing interaction between the UE and a network. The data includes: previous bandwidth usage associated with the UE, previous CDR associated with the UE, anticipated geolocation of the UE, a plan associated with the UE, one or more media events, a number of lines associated with the UE, a length of time the UE has been associated with the network, and a unique identifier associated with the UE. The system obtains multiple plans associated with the network, where a plan indicates the bandwidth usage associated with the UE within a predetermined period. Based on the data, the system predicts the bandwidth usage associated with the UE within the predetermined period to obtain a predicted bandwidth usage and determines the plan among the multiple plans accommodating the predicted bandwidth usage. The system requests the bandwidth usage associated with the plan from the network.
DISH Network Technologies India Private Limited (Inde)
DISH Wireless L.L.C. (USA)
Inventeur(s)
Mishra, Brijesh Kumar
Arora, Ankesh
Thomas, Arun
Negi, Bhasker Singh
Jindal, Anupam
Sabhapati, Mythriamulya
Srinivasan, Kulasekaran
Pradhan, Arun Kumar
Abrégé
In response to determining that a first computing node is to consume a service provided by a target network function associated with a 5G core network, it is determined whether the NRF is available to process a request from the first computing node to perform a discovery procedure to determine a computing node that implements the target network function. When the NRF is unavailable, the first computing node searches discovery records of previous discovery procedures performed by the first computing node and identifies a second computing node that implements the target network function. The first computing node transmits a service request to the identified second computing node.
DISH Network Technologies India Private Limited (Inde)
DISH Wireless L.L.C. (USA)
Inventeur(s)
Mishra, Brijesh Kumar
Arora, Ankesh
Thomas, Arun
Negi, Bhasker Singh
Jindal, Anupam
Sabhapati, Mythriamulya
Srinivasan, Kulasekaran
Pradhan, Arun Kumar
Abrégé
In response to receiving a service request from a second computing node to consume a service provided by a target network function, a first computing node determines whether the NRF is available to process a request from the first computing node to perform a discovery procedure to determine a computing node that implements the target network function. When the NRF is unavailable, the first computing node searches discovery records of previous discovery procedures performed by the first computing node and identifies a third computing node that implements the target network function. The first computing node forwards the service request to the identified third computing node.
Various arrangements for providing redundant backhaul for a cellular network are provided herein. A secondary cellular network core can be in communication with a primary cellular network core. The secondary cellular network core can be configured such that components of the secondary cellular network core are optimized for satellite communications, while the components of the primary cellular network core are optimized for wired communications. In response to a determination that the primary backhaul connection is not available for accessing the primary cellular network core, cellular network services can instead be provided via the satellite backhaul connection and the secondary cellular network core.
SMART UPLINK POWER CONTROL CONSIDERING TIMING ADVANCE, DIFFERENTIATING NEAR , FAR USERS AND RESOURCE ALLOCATION OPTIMIZATION TO AVOID AND ELIMINATE UPLINK INTERFERENCE IMPROVING UPLINK SYSTEM CAPACITY
Technologies for smart uplink power control in a cellular network are described. One method includes: determining a plurality of parameters of a shared channel associated with a base station in the cellular network, each parameter of the plurality of parameters characterizing at least one of: a distance to the base station from each user equipment (UE) of a plurality of UEs connected to the base station, a timing advance of a first UE of the plurality of UEs, or resource allocation to the first UE; generating, based on the plurality of parameters, a value of a power control command provided by the base station of the cellular network, wherein the value is specific to the first UE; and receiving, from the first UE, a message via the shared channel, wherein the message is transmitted under a transmission power calculated based on the value of the power control command.
H04W 52/14 - Analyse séparée de la liaison montante ou de la liaison descendante
H04W 52/36 - Commande de puissance d'émission [TPC Transmission power control] utilisant les limitations de la quantité totale de puissance d'émission disponible avec une plage ou un ensemble discrets de valeurs, p. ex. incrément, variation graduelle ou décalages
H04W 72/1268 - Jumelage du trafic à la planification, p. ex. affectation planifiée ou multiplexage de flux de flux de données en liaison ascendante
H04W 74/0833 - Procédures d’accès aléatoire, p. ex. avec accès en 4 étapes
78.
GENERATIVE ARTIFICIAL INTELLIGENCE (AI) BASED SYSTEMS AND METHODS FOR NETWORK INCIDENT ANALYSIS
Systems, devices, and methods related to network incident analysis. An example method includes: receiving historical RCA documents specific to a network service provider, receiving network data associated with the RCA documents, processing the RCA documents to generate RCA data based on the RCA documents and the network data, generating one or more vectors based on the RCA data and the network data, constructing and training one or more AI/ML models based on the RCA data and the vectors, receiving a query from a network operator of the network service provider, identifying one or more of the historical RCA documents pertaining to the query using the AI/ML models, analyzing the query using the AI/ML models to extract one or more intents of the network operator, generating contents using the AI/ML models, and generating a response comprising the contents for output.
H04L 41/0631 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse des causes profondesGestion des fautes, des événements, des alarmes ou des notifications en utilisant l’analyse de la corrélation entre les notifications, les alarmes ou les événements en fonction de critères de décision, p. ex. la hiérarchie ou l’analyse temporelle ou arborescente
G06F 40/40 - Traitement ou traduction du langage naturel
H04L 41/069 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant des journaux de notificationsPost-traitement des notifications
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
79.
MULTI-ENVIRONMENT CELLULAR NETWORK SLICE TESTING SYSTEM
Systems, methods, and non-transitory, machine-readable media may facilitate multi-environment cellular network slice testing. A cloud-based test environment may be created and may include multiple cellular network components executed on a cloud-based computing platform. One or more slice testing requests may be received from a service provider system. Responsive to the one or more slice testing requests, one or more network slices may be created, where the one or more network slices may correspond to one or more portions of a cellular network. Slice testing may be performed with the one or more network slices within the cloud-based test environment. Results of the slice testing using the one or more network slices may be obtained.
A fallout engine performs fallout handling for errors generated by a component within a cell site. The fallout engine determines the occurrence of an error, identifies the error, determines what operations to perform to resolve the error, and causes the operations to be executed within the cell site. A testing platform can be used to generate information about the errors and playbooks/operations to resolve the errors.
A method and system manage cellular communications considering satellite communications. The method includes determining an expected level of interference created by cellular communications for satellite communications for locations in a satellite coverage area. It also involves associating locations sets with interference mask and an associated restriction rule. The method further includes grouping the locations across the location sets based on a respective expected level of interference for a respective location. The system and method can be used to manage interference between cellular and satellite communications.
Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a first radio unit (RU) that supports a first cell of the network, a second RU that supports a second cell, and a server system in communication with both RUs. The server system comprises a first server and a second server. A first pod acting as a distributed unit for the first RU is active on the first server and instantiated on the second server. A second pod acting as a distributed unit for the second RU is instantiated on the first server and active on the second server. A control plane executing on the first server manages execution of both pods, in response to determining that a pod is no longer active on a server, activates the pod on the other server.
Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a first radio unit (RU) that supports a first cell of the network, a second RU that supports a second cell, and a server system in communication with both RUs. The server system comprises a first server and a second server. A first pod acting as a distributed unit for the first RU is active on the first server and instantiated on the second server. A second pod acting as a distributed unit for the second RU is instantiated on the first server and active on the second server. A control plane executing on the first server manages execution of both pods, in response to determining that a pod is no longer active on a server, activates the pod on the other server.
H04L 41/0663 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant la reprise sur incident de réseau en réalisant des actions prédéfinies par la planification du basculement, p. ex. en passant à des éléments de réseau de secours
H04W 24/04 - Configurations pour maintenir l'état de fonctionnement
84.
CLUSTER FAILURE MANAGEMENT SYSTEM AND TECHNIQUES FOR TELECOMMUNICATIONS SYSTEMS
Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a base station comprising a radio unit; a first server in communication with the radio unit having a pod performing distributed unit functions and a control plane to manage execution of the pod executing thereon; a second server in communication with the radio unit; and an orchestration server system in communication with both servers. The orchestration server system executes an orchestrator application that monitors execution of the control plane and activates a new instance of the control plane on the second server in response to determining that the control plane is no longer executing on the first server.
H04W 40/36 - Modification d'une voie d'acheminement existante en raison d'un transfert
H04W 40/28 - Gestion d'informations sur la connectabilité, p. ex. exploration de connectabilité ou mise à jour de connectabilité pour acheminement réactif
H04W 40/32 - Gestion d'informations sur la connectabilité, p. ex. exploration de connectabilité ou mise à jour de connectabilité pour définir une appartenance à un groupe d'acheminements
85.
SYSTEMS AND METHODS FOR IMPLEMENTING NEAR-FIELD COMMUNICATION FOR COMMUNICATION DEVICE SERVICING
Systems and methods are provided for implementing near-field communication (NFC) for communication device servicing. One system includes a communication device having an antenna and a processor. The processor may output, via the antenna, a request radio frequency (RF) signal to a NFC tag. The processor may receive, via the antenna, a response RF signal including data embedded on the NFC tag. The processor may determine an identifier associated with the communication device and generate and transmit a request to a remote device, the request including the identifier associated with the communication device. The processor may receive, from the remote device, a data packet including a recommended operation. The processor may output the recommended operation and detect a selection of the recommendation operation. Responsive to the selection, the processor may cause the remote device to execute the recommended operation.
H04B 5/77 - Systèmes de transmission en champ proche, p. ex. systèmes à transmission capacitive ou inductive spécialement adaptés à des fins spécifiques pour l'interrogation
86.
AUTOMATED CONTAINER ORCHESTRATION IN A CLOUD-BASED NETWORK
An example process includes writing, by a global controller in a first computing environment, a first job and a second job to a global database to implement a template of a network function in a first cloud environment and a second cloud environment. The global controller orchestrates a first container cluster. A first macro controller in the first cloud environment executes the first job from the global database to instantiate the network function in the first cloud environment. The first macro controller orchestrates a second container cluster that is a member of the first container cluster. A second macro controller in the second cloud environment executes the second job from the global database to instantiate the network function in the first cloud environment. The second macro controller orchestrates a third container cluster that is a member of the first container cluster.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
Techniques for supporting non-terrestrial fronthaul network architectures are provided. In one example, a wireless network system includes: a satellite comprising a radio unit; a distributed unit located on Earth that manages the radio unit; and a satellite gateway in communication with the distributed unit and the satellite. The satellite gateway is configured to: receive ephemeris data for the satellite; initiate a sequence of clock synchronization transmissions between the radio unit and the satellite gateway; and determine, using the ephemeris data and a location of the satellite gateway, a first propagation time for a first clock synchronization transmission and a second propagation time for a second clock synchronization transmission. Based on the propagation times, the satellite gateway generates and transmits a clock synchronization correction factor that the radio unit will use to determine an offset between clock signals of the radio unit and the distributed unit.
Techniques for supporting non-terrestrial fronthaul network architectures are provided. In one example, a wireless network includes: a satellite comprising a radio unit; a satellite gateway in communication with the satellite; and a distributed unit located on Earth and in communication with the satellite gateway. Using ephemeris data for the satellite and the location of the gateway, maximum and minimum distances between the gateway and the satellite are determined for a time period when the satellite will be in line-of-sight communication with the satellite gateway. Based on the maximum and minimum distances, maximum and minimum propagation times for signals exchanged between the satellite and the gateway during the time period are determined. Using the maximum and minim propagation times, the distributed unit coordinates uplink and downlink transmission windows with the radio unit.
Systems and automated processes are described to provide collection of wireless network status data, such as a 5G network, and to automatically respond to queries regarding the performance of the network. Systems and automated processes may, in response to a request for network performance information, obtain performance and static data from network data sources, analyze the static data to generate validated site data, apply a KPI formula to the performance data to generate KPI data, and generate a network performance report based on the validated site data and KPI data. In addition, the systems and automated processes may use an appropriate machine learning model from a library of models to determine recommended actions to increase network performance and may automatically implement such actions. A top offender system may be implemented to analyze the status data to determine the network elements having the largest negative impact on network performance.
H04L 41/5009 - Détermination des paramètres de rendement du niveau de service ou violations des contrats de niveau de service, p. ex. violations du temps de réponse convenu ou du temps moyen entre l’échec [MTBF]
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
A computer-implemented method is provided. In one example, the method includes: managing serialized inventory information regarding user devices according to a serialized inventory live status (SILS) data structure of the user devices, the serialized inventory information including first serialized inventory information regarding a first user device; obtaining a first state of the first user device, wherein the first state indicates whether the first user device is locked or unlocked with respect to a carrier service; determining if the first user device is eligible for unlock according to a set of pre-established rules specifying conditions for the first user device to be eligible for unlock; and transmitting an unlock command to the first user device, wherein the unlock command is executable to effectuate a change of the first user device from being locked to being unlocked with respect to the carrier service.
A distributed data mesh system for networks is described herein. The distributed data mesh system includes data organized into separate domains, where each domain includes one or more data products representing the data in the domain. The distributed data mesh system additionally includes a data infrastructure catalog that includes information describing the data products and data domains. The distributed data mesh system is also designed based on a set of governing principles which govern how data is created, used, and maintained.
Systems and methods for automating one or more operations associated with a cell site is provided. An example method includes establishing, by one or more processors, a connection between an automation component and at least one of a data validation component associated with one or more components installed at the cell site, or an element management system (EMS); determining, by the one or more processors, at least one of one more of EMS operations, or one or more data validation operations associated with at least one installed component at the cell site; causing, by the one or more processors, the one or more operations to execute; and obtaining, by the one or more processors, data associated with the execution of the one or more operations; wherein the data identifies an outcome associated with the operations.
A method includes executing a machine learning model on a computing system, the computing system operating on a centralized node of a wireless communication network. The method further includes monitoring, using the machine learning model, user plane network traffic associated with a user plane tunnel in the wireless communication network. The method further includes detecting, using the machine learning model, an occurrence of one or more conditions in the user plane network traffic indicative of one or more network issues. The method further includes adjusting, by the computing system, one or more network parameters of the wireless communication network based on detecting the occurrence of the one or more conditions in the user plane network traffic.
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
Techniques for using a closed group of cellular devices to perform a task are described. An example method includes receiving a request from a device within a cellular network, wherein the request indicates a recommendation for other devices within the cellular network that are available to form a closed group of devices capable of performing the task; determining, by the one or more processors, the other devices that are available within the cellular network and that at least in combination with the device are able to perform the task; wherein the determining includes use of one or more machine learning (ML) models; generating, by the one or more processors, a response that identifies the other devices that, at least in combination with the device, are available to participate with the device to perform the task; and sending, by the one or more processors, the response to the device.
H04L 41/0893 - Affectation de groupes logiques aux éléments de réseau
H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
95.
INTELLIGENT CALL CONTINUITY MANAGEMENT AND VOICE RADIO ACCESS TECHNOLOGY SELECTION
Various arrangements for switching between Radio Access Technologies (RATs) are present. Measurements can be performed on signals from a first cellular base station by a mobile device that is actively communicating with a second cellular base station. The first cellular base station uses a different RAT than the second cellular base station. The mobile device is compatible with RATs of both the first cellular base station and the second cellular base station. The mobile device can send the measurements for the first cellular base station to the second cellular base station. The second cellular base station can send a release command to the mobile device responsive to the measurements, thus causing the mobile device to connect with the first cellular base station.
DISH Network Technologies India Private Limited (Inde)
DISH Wireless L.L.C. (USA)
Inventeur(s)
Shahdad, Dawood
Chikatmarla, Jaya Chandra
Singh, Manvendra
Mishra, Brijesh
Abrégé
The present teachings involves managing network connectivity in a radio access network, such as a Fifth Generation (5G) network. This includes performing a network health check for each N6 chain towards an Internet site by a user plane function (UPF), disabling a pod managing a degraded N6 chain by the UPF in response to the health check indicating a failure, and notifying a Session Management Function (SMF) to stop allocating the disabled pod for Internet Traffic. The system includes a UPF configured to perform the health check, disable the pod, and send a notification, and an SMF configured to stop allocating the disabled pod in response to the notification.
H04L 41/122 - Découverte ou gestion des topologies de réseau des topologies virtualisées, p. ex. les réseaux définis par logiciel [SDN] ou la virtualisation de la fonction réseau [NFV]
H04L 41/0659 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant la reprise sur incident de réseau en isolant ou en reconfigurant les entités défectueuses
H04L 43/0817 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux en vérifiant la disponibilité en vérifiant le fonctionnement
H04L 43/10 - Surveillance active, p. ex. battement de cœur, utilitaire Ping ou trace-route
97.
SYSTEM AND METHOD OF DATA ABSTRACTION FROM NETWORK DATA SOURCES
Telecommunications systems, computer devices and systems, and methods are provided. One example method, performed by a data abstraction layer of a telecommunications system for a network, includes accessing data elements associated with a network function of the network, performing abstraction on the data elements to generate one or more data products, receiving a customer request for a service on the network, identifying the data product related the service, and provisioning the identified data product to the customer. The method may further include identifying proprietary data and private data of the data elements based on a predefined policy and removing proprietary data and private data before performing abstraction.
Systems and automated processes are described to provide collection of wireless network status data, such as a 5G network, and to automatically respond to queries regarding the performance of the network. Systems and automated processes may, in response to a request for network performance information, obtain performance and static data from network data sources, analyze the static data to generate validated site data, apply a KPI formula to the performance data to generate KPI data, and generate a network performance report based on the validated site data and KPI data. In addition, the systems and automated processes may use an appropriate machine learning model from a library of models to determine recommended actions to increase network performance and may automatically implement such actions. A top offender system may be implemented to analyze the status data to determine the network elements having the largest negative impact on network performance.
Embodiments provide novel approaches to handling network slice groups in access stratum and non-access stratum communications in a cellular communication network. Novel slice identification schema can support group-level identification of groups of network slices without individually listing the network slices. Some embodiments implement a slice identifier that supports wildcard slice/service type (SST) options and/or wildcard slice differentiator (SD) options to support wildcard-enabled slice groups. Some embodiments enable use of such wildcard-enabled slice groups in context of unified access control. Some embodiments introduce a novel criteria type to unified access control to expressly support flexible slice grouping.
A method of operating a private network includes obtaining channel requirement information indicating a bandwidth of a channel, obtaining available channel information indicating Citizens Broadband Radio Service (CBRS) frequency bands and non-CBRS frequency bands available to be allocated to the channel, selecting one or more of the CBRS frequency bands and one or more of first non-CBRS frequency bands based on the channel requirement information, generating channel aggregation information indicating the selected CBRS and non-CBRS frequency bands, generating transmission power level information for the selected CBRS and non-CBRS frequency bands, transmitting the channel aggregation information and the transmission power level information, receiving the first channel aggregation information and the first transmission power level information at an access point device, and transmitting data in the channel using the selected CBRS and non-CBRS frequency bands from the access point device based on the first transmission power level information.
