GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks-Reference-Cited by-同舟云学术

GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks

Published:2024-08 Issue:8 Volume:23 Page:9251-9264
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Li Yuhang¹^ORCID,Lu Yang¹^ORCID,Ai Bo²^ORCID,Dobre Octavia A.³^ORCID,Ding Zhiguo⁴^ORCID,Niyato Dusit⁵^ORCID

Affiliation:

1. School of Computer Science and Technology and the Collaborative Innovation Center of Railway Traffic Safety, Beijing Jiaotong University, Beijing, China

2. State Key Laboratory of Rail Traffic Control and Safety and the School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China

3. Faculty of Engineering and Applied Science, Memorial University, St. John’s, NL, Canada

4. Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, United Arab Emirates

5. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Beijing Nova Program

Natural Sciences and Engineering Research Council of Canada (NSERC) through its Discovery Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7693/10634832/10430085.pdf?arnumber=10430085

Reference29 articles.

1. Active RIS Assisted Rate-Splitting Multiple Access Network: Spectral and Energy Efficiency Tradeoff

2. Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing

3. Resource Allocation for Multi-User Downlink MISO OFDMA-URLLC Systems

4. Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems With Imperfect Channels

5. Implementing Graph Neural Networks Over Wireless Networks via Over-the-Air Computing: A Joint Communication and Computation Framework

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