A deep reinforcement learning for energy efficient resource allocation Intelligent Reflecting Surface (IRS) driven Non-Orthogonal Multiple Access Beamforming (NOMA-BF)-Reference-Cited by-同舟云学术

A deep reinforcement learning for energy efficient resource allocation Intelligent Reflecting Surface (IRS) driven Non-Orthogonal Multiple Access Beamforming (NOMA-BF)

Published:2023-10 Issue: Volume:60 Page:102148
ISSN:1874-4907
Container-title:Physical Communication
language:en
Short-container-title:Physical Communication

Author:

Amin Subba,Sheikh Javaid A.,Mehboob-ul-Amin ,Malik Bilal A.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering

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1. On the performance of multiple‐IRS aided wireless networks over Nakagami‐m$$ m $$ fading channels;International Journal of Communication Systems;2024-08-03

2. Dynamic RIS partitioning in NOMA systems using deep reinforcement learning;Frontiers in Antennas and Propagation;2024-07-24

3. Research on Energy Efficiency Optimization of IRS-NOMA Wireless Communication System Based on Deep Reinforcement Learning;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

4. Resource allocation in paired users: Optimization‐assisted user grouping for fairness improvement of NOMA;International Journal of Communication Systems;2024-04-21

5. AI-Empowered Multiple Access for 6G: A Survey of Spectrum Sensing, Protocol Designs, and Optimizations;Proceedings of the IEEE;2024