18727563. SYNTHETIC DATA GENERATION USING GAN BASED ON ANALYTICS IN 5G NETWORKS (Telefonaktiebolaget LM Ericsson (publ))

SYNTHETIC DATA GENERATION USING GAN BASED ON ANALYTICS IN 5G NETWORKS

Organization Name

Telefonaktiebolaget LM Ericsson (publ)

Inventor(s)

Carlota Villasante Marcos of Madrid ES

Victor Gomez-hidalgo Perez of Torrijos Toledo ES

Gonzalo Hernandez Haro of Madrid ES

Miguel Angel Julian Aguilar of Madrid ES

[[:Category:Miguel Angel Mu�oz De La Torre Alonso of Madrid ES|Miguel Angel Mu�oz De La Torre Alonso of Madrid ES]][[Category:Miguel Angel Mu�oz De La Torre Alonso of Madrid ES]]

[[:Category:Carlos Álamo Gonz�lez of Madrid ES|Carlos Álamo Gonz�lez of Madrid ES]][[Category:Carlos Álamo Gonz�lez of Madrid ES]]

SYNTHETIC DATA GENERATION USING GAN BASED ON ANALYTICS IN 5G NETWORKS

This abstract first appeared for US patent application 18727563 titled 'SYNTHETIC DATA GENERATION USING GAN BASED ON ANALYTICS IN 5G NETWORKS

Original Abstract Submitted

A Generative Adversarial Network (GAN) is used to generate synthetic network traffic data, such as for use in training Machine Learning (ML) models. In one embodiment, a new NWDAF analytic “SyntheticData” is defined. The analytic receives as input from a requesting network function (NF) at least an amount of network traffic data requested and the type of network traffic data requested. The SyntheticData analytic uses a GAN model to generate realistic synthetic network traffic data based on actual network traffic collected in the wireless communication network. The analytic sends to the requesting NF the specified amount of synthetic network traffic data of the specified type. In one embodiment, the synthetic network traffic data generation is implemented as a new logical function of an NWDAF: the Data Generator Logical Function (DGLF).