Deep Learning-Based Power Control for Uplink Cell-Free Massive MIMO Systems-Reference-Cited by-同舟云学术

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Deep Learning-Based Power Control for Uplink Cell-Free Massive MIMO Systems

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
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Author:

Zhang Yongshun¹,Zhang Jiayi¹,Jin Yu¹,Buzzi Stefano²,Ai Bo³

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China,100044

2. University of Cassino and Lazio Meridionale,Department of Electrical and Information Engineering,Cassino,Italy

3. Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,China,100044

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685827.pdf?arnumber=9685827

Reference25 articles.

1. Impact of Channel Aging on Cell-Free Massive MIMO Over Spatially Correlated Channels

2. Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO

3. Uplink Fractional Power Control and Downlink Power Allocation for Cell-Free Networks

4. Pilot Power Control for Cell-Free Massive MIMO

5. Deep Learning Power Allocation in Massive MIMO

Cited by 12 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. GNN-Enabled Max-Min Fair Beamforming;IEEE Transactions on Vehicular Technology;2024-08

2. Joint Spectral and Power Efficiency Optimization in Uplink Radio Stripes;IEEE Transactions on Communications;2024-08

3. Survey on Resource Allocation for Future 6G Network Architectures: Cell-Free and Radio Stripe Technologies;Electronics;2024-06-25

4. Energy-Efficient Power Allocation in Cell-Free Massive MIMO via Graph Neural Networks;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

5. Energy-efficient access point clustering and power allocation in cell-free massive MIMO networks: a hierarchical deep reinforcement learning approach;EURASIP Journal on Advances in Signal Processing;2024-01-26

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