Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA

<p dir="ltr">In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario intending to maximize the sum-rate of users. The optimization problem at the IRS is quite complicated, and non-convex since it requires the t...

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Bibliographic Details
Main Author: Muhammad Shehab (16904880) (author)
Other Authors: Bekir S. Ciftler (16904883) (author), Tamer Khattab (16870086) (author), Mohamed M. Abdallah (8476953) (author), Daniele Trinchero (16904886) (author)
Published: 2022
Subjects:
Engineering
Communications engineering
Information and computing sciences
Distributed computing and systems software
Machine learning
NOMA
Wireless communication
Resource management
Downlink
Optimization
Interference cancellation
6G mobile communication
Intelligent reflecting surfaces (IRS)
Non-orthogonal multiple access (NOMA)
Deep reinforcement learning (DRL)
5G and beyond
6G
Phase shift design
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