Cache‐enabled reinforcement learning scheme for power allocation and user selection in opportunistic downlink NOMA transmissions

Author:

Gendia Ahmad12,Muta Osamu3,Nasser Ahmed4

Affiliation:

1. Graduate School of Information Science and Electrical Engineering Kyushu University 744 Motooka, Nishi‐ku, Fukuoka Japan 819‐0395

2. Electrical Engineering Department, Faculty of Engineering Al‐Azhar University, Egypt Nasr City Cairo Egypt 11751

3. Center for Japan‐Egypt Cooperation in Science and Technology, Kyushu University 744 Motooka, Nishi‐ku Fukuoka Japan 819‐0395

4. Department of Electronics and Communications, Faculty of Engineering Suez Canal University 4.5 Km, Ring Road Ismailia Egypt 41522

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Energy-Efficient Trajectory Planning With Joint Device Selection and Power Splitting for mmWaves-Enabled UAV-NOMA Networks;IEEE Transactions on Machine Learning in Communications and Networking;2024

2. Reinforcement Learning Based Technique for Interference Management in UAV Aided HetNets;2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2022-12-19

3. Multi-Armed Bandit based Capacity Enhancement Approach for Reconfigurable Intelligent Surface Assisted Multi-cell System;2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2022-12-19

4. Reinforcement Learning Based Technique for NOMA User Pairing Enhancement in RIS Assisted HetNets;2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT);2022-12-18

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