Abrégé

A system and method for dynamically creating distributed, self-adjusting and optimizing core network with machine learning is disclosed. The method includes receiving a request to access one or more services and establishing a secure real time communication session with one or more client devices and a set of service layers based on the received request. The method further includes determining one or more service parameters based on the received request and sending one or more handshake messages to each of the set of service layers. Further, the method includes determining one or more environmental parameters and determining best possible service layer capable of processing the received request by using a trained service based ML model. The method includes processing the request at the determined best possible service layer and terminating or transferring the secure real time communication session after the request is processed.

Classes IPC  ?

• H04L 12/00 - Réseaux de données à commutation
• H04L 41/0246 - Normalisation; Intégration Échange ou transport d’informations de gestion de réseau en utilisant l’Internet; Intégration de serveurs de gestion du Web dans des éléments de réseau; Protocoles basés sur les services du Web
• H04L 41/08 - Gestion de la configuration des réseaux ou des éléments de réseau
• 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 41/14 - Analyse ou conception 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 41/5019 - Pratiques de respect de l’accord du niveau de service

Abrégé

The present disclosure describes an artificial intelligence (AI)/machine learning (ML) based distributed, hybrid, and multi-cloud software fabric-based system that unifies the communication infrastructure across hybrid and multi clouds. This mobile connectivity software fabric allows operators to modernize their networks to bring significant operational savings while rolling out new mobile services. This fabric can enable small independent networks and allow them to seamlessly connect with public networks, and it can enable network of networks while keeping the underlying compute and heterogeneity unified.

Classes IPC  ?

• H04L 67/51 - Découverte ou gestion de ceux-ci, p.ex. protocole de localisation de service [SLP] ou services du Web

Abrégé

The present disclosure describes solutions for dynamic network slicing including provisions to create, modify, and/or delete network slices in a de-centralized communication network including a plurality of central/regional/edge/far-edge locations across hybrid and multi-cloud environment referred to as edge server or edge location for providing service to the users. Network slicing enables multiple isolated and independent virtual (logical) networks to exist together. A plurality of virtual networks, i.e., slices, may be created using resources of the same physical network infrastructure.

Classes IPC  ?

• H04L 47/127 - Prévention de la congestion; Récupération de la congestion en utilisant la prévision de congestion
• 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 47/125 - Prévention de la congestion; Récupération de la congestion en équilibrant la charge, p.ex. par ingénierie de trafic

Abrégé

The present disclosure describes solutions for seamless enterprise network integration with operator networks. Enterprise networks can include full network resources to provide a complete, isolated network. The enterprise network can also host mobile network operator users with edge managers acting as routing agents. Moreover, when an enterprise moves outside of the enterprise network, the enterprise user can still access the enterprise network via an operator network without compromising security, privacy, and reliability. A neutral hosted core can be used as a routing agent to the enterprise network from one or more operator networks.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité
• H04L 67/141 - Configuration des sessions d'application
• G06N 20/00 - Apprentissage automatique

Abrégé

A system and method for autonomous data and signalling traffic management in a distributed infrastructure is disclosed. The method includes a distributed multi-cloud computing system with machine learning based intelligence across heterogenous computing platforms hosting mobile network functions, capable of leveraging AI based distribution across all the resources to creates autonomous network operations and intelligently work around any impairments. The method includes determining one or more service nodes by using a trained traffic management based ML model and establishing one or more cloud mesh links between the one or more service nodes at multiple levels of hierarchy based on the system, environment and network parameters and the current network demand. Further, the method includes processing the request by providing access of the one or more services hosted on the one or more external devices to the one or more electronic devices via the one or more cloud mesh links.

Classes IPC  ?

• H04L 47/2416 - Trafic en temps réel
• G06F 18/214 - Génération de motifs d'entraînement; Procédés de Bootstrapping, p.ex. ”bagging” ou ”boosting”
• G06N 20/00 - Apprentissage automatique
• H04L 9/40 - Protocoles réseaux de sécurité
• H04L 47/2483 - Trafic caractérisé par des attributs spécifiques, p.ex. la priorité ou QoS en impliquant l’identification des flux individuels
• H04L 47/60 - Ordonnancement des files d’attente en implémentant un ordonnancement hiérarchique

Abrégé

A system and method for dynamically creating distributed, self-adjusting and optimizing core network with machine learning is disclosed. The method includes receiving a request to access one or more services and establishing a secure real time communication session with one or more client devices and a set of service layers based on the received request. The method further includes determining one or more service parameters based on the received request and sending one or more handshake messages to each of the set of service layers. Further, the method includes determining one or more environmental parameters and determining best possible service layer capable of processing the received request by using a trained service based ML model. The method includes processing the request at the determined best possible service layer and terminating or transferring the secure real time communication session after the request is processed.

Classes IPC  ?

• H04L 12/00 - Réseaux de données à commutation
• 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 41/0246 - Normalisation; Intégration Échange ou transport d’informations de gestion de réseau en utilisant l’Internet; Intégration de serveurs de gestion du Web dans des éléments de réseau; Protocoles basés sur les services du Web
• H04L 41/14 - Analyse ou conception de réseau
• 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 41/5019 - Pratiques de respect de l’accord du niveau de service
• H04L 41/08 - Gestion de la configuration des réseaux ou des éléments de réseau

Produits et services

Downloadable cloud-computing software for telecom network functions namely, for providing 5G mobile broadband services to mobile network operators and enterprises

Produits et services

Downloadable communication software for providing access to the Internet Wireless broadband communication services