Deep reinforcement learning based dynamic power allocation for uplink device-to-device enabled cell-free network-Reference-Cited by-同舟云学术

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Deep reinforcement learning based dynamic power allocation for uplink device-to-device enabled cell-free network

Published:2022-06-15 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
language:
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Author:

Xia Guoqing¹,Zhang Yue¹,Ge Lu²,Zhou Huiyu³

Affiliation:

1. School of engineering University of Leicester,Leicester,UK

2. Wolfson school of Mechanical, Electrical and Manufacturing Engineering Loughborough University,Leicester,UK

3. School of computing and mathematical science University of Leicester,Leicester,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828467/9828470/09828568.pdf?arnumber=9828568

Reference21 articles.

1. Optimized Cooperative Multiple Access in Industrial Cognitive Networks

2. Power and Channel Allocation for Non-Orthogonal Multiple Access in 5G Systems: Tractability and Computation

3. Unsupervised Machine Learning-Based User Clustering in Millimeter-Wave-NOMA Systems

4. Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems

5. Learning-Assisted User Clustering in Cell-Free Massive MIMO-NOMA Networks

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1. Joint Beamforming and Compressed Sensing for Uplink Grant-Free Access;IEEE Transactions on Wireless Communications;2024-09

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