Graph Neural Networks for Wireless Communications: From Theory to Practice

Author:

Shen Yifei1,Zhang Jun1ORCID,Song S.H.1ORCID,Letaief Khaled B.1ORCID

Affiliation:

1. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China

Funder

General Research Fund from the Research Grants Council of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Cited by 45 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. Mobility-Induced Graph Learning for WiFi Positioning;IEEE Journal on Selected Areas in Communications;2024-09

2. Graph Neural Network Aided Power Control in Partially Connected Cell-Free Massive MIMO;IEEE Transactions on Wireless Communications;2024-09

3. Opportunities and challenges of graph neural networks in electrical engineering;Nature Reviews Electrical Engineering;2024-08-05

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

5. ICNet: GNN-Enabled Beamforming for MISO Interference Channels With Statistical CSI;IEEE Transactions on Vehicular Technology;2024-08

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