Deep reinforcement learning for secure broadcast channels
Title: Deep reinforcement learning for secure broadcast channels
SNIC Project: SNIC 2021/22-335
Project Type: SNIC Small Compute
Principal Investigator: Antonia Arvanitaki <antonia.arvanitaki@liu.se>
Affiliation: Linköpings universitet
Duration: 2021-04-26 – 2022-01-01
Classification: 10201
Keywords:

Abstract

I will apply deep reinforcement learning for physical layer security in broadcast channels to improve the performance of the network in terms of different metrics such as delay, throughput, etc.