Search Results for author: Muhammad Shehab

Found 1 papers, 0 papers with code

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

no code implementations3 Apr 2021 Muhammad Shehab, Bekir S. Ciftler, Tamer Khattab, Mohamed Abdallah, Daniele Trinchero

In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario with the aim of maximizing the sum rate of users.

reinforcement-learning Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.