Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
Author:
Affiliation:
1. National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685457.pdf?arnumber=9685457
Reference20 articles.
1. Graph embedding based wireless link scheduling with few training samples;lee;IEEE Transactions on Wireless Communications,2020
2. Dis-tributed scheduling using graph neural networks;zhao;ArXiv Preprint,2021
3. Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis
4. Decentralized Statistical Inference with Unrolled Graph Neural Networks
5. Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation
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