Telefonaktiebolaget Lm Ericsson (publ)

Ricardo Souza

Athanasios Karapantelakis

Elena Fersman

Maxim Teslenko

Rafia Inam

Vlasios Tsiatsis

Meral Shirazipour

Leonid Mokrushin

Ioanna Pappa

Keven Wang

Julien Forgeat

Mateus Santos

Pedro Henrique Gomes Da Silva

A method generates synthetic data by a data collection system where the synthetic data meets a first threshold for accuracy and a second threshold for protecting sensitive data from recovery from the synthetic data. The method includes collecting data including sensitive data and non-sensitive data, executing a first machine learning model to generate the synthetic data from the collected data where the synthetic data meets the first threshold, executing a second machine learning model to update the synthetic data to meet the second threshold, checking whether the updated synthetic data meets the first threshold, releasing the updated synthetic data where the first threshold is met, and re-executing the first machine learning model and second machine learning model to update the synthetic data where the first threshold is not met during the checking.

Using generative adversarial networks (GANs) to enable sharing of sensitive data

A method performed by a first network node for a telecommunications network is provided. The method includes receiving a request for a network service. The method further includes dynamically mapping the request for the network service to an internal network slice instance based on unsupervised learning of historical data.

Network slice internal mapping using unsupervised learning and related apparatuses

A method performed by a serving network node for handover of a communication device to a target network node is provided. The method includes determining, based on content of an Information Centric Networking, ICN, request, a need for handover, and initiating, in response to the determining, a handover of the communication device to the target network node. A method performed by a network entity is also provided. A network node, network entity, computer programs and computer program products are also provided.

Methods and network entities for handover

The present disclosure relates to network nodes and methods performed at the network nodes for accessing data acquired in a communication system. In an aspect of the present disclosure, a method performed at a network node is provided to access data acquired in a communication system. The method includes acquiring data from which at least one information set is to be derived, determining that said at least one information set cannot be derived from the acquired data, and submitting a request for assistance to derive said at least one information set from the acquired data. The method further includes receiving, in response to the submitted request, information enabling deriving of said at least one information set.

Accessing data at a network node

Growing community of inventors

Indaiatuba, Brazil

Ricardo Souza