Learning Power Allocation for Multi-cell-multi-user Systems with Heterogeneous Graph Neural Network
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/4656680/09505260.pdf?arnumber=9505260
Cited by 52 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. Graph Neural Network Aided Power Control in Partially Connected Cell-Free Massive MIMO;IEEE Transactions on Wireless Communications;2024-09
2. Graph Neural Network for Distributed Beamforming and Power Control in Massive URLLC Networks;IEEE Transactions on Wireless Communications;2024-08
3. Joint Spectrum, Precoding, and Phase Shifts Design for RIS-Aided Multiuser MIMO THz Systems;IEEE Transactions on Communications;2024-08
4. Joint Pilot and Data Power Optimization in Cell-free Massive MIMO Systems using Heterogeneous Graph Convolutional Network;2024 Tenth International Conference on Communications and Electronics (ICCE);2024-07-31
5. Graph Neural Network Performance Analysis in the Cell-Free Massive MIMO Wireless Systems;2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE);2024-06-19
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