ICNet: GNN-Enabled Beamforming for MISO Interference Channels With Statistical CSI-Reference-Cited by-同舟云学术

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ICNet: GNN-Enabled Beamforming for MISO Interference Channels With Statistical CSI

Published:2024-08 Issue:8 Volume:73 Page:12225-12230
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

He Changpeng¹^ORCID,Li Yuhang¹^ORCID,Lu Yang¹^ORCID,Ai Bo²^ORCID,Ding Zhiguo³^ORCID,Niyato Dusit⁴^ORCID

Affiliation:

1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China

3. Department of Electrical Engineering and Computer Science, Khalifa University, Abu Dhabi, UAE

4. College of Computing and Data Science (CCDS), Nanyang Technological University, Singapore

Funder

Beijing Nova Program

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10637911/10478677.pdf?arnumber=10478677

Reference11 articles.

1. Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications

2. Global Energy Efficiency in Secure MISO SWIPT Systems With Non-Linear Power-Splitting EH Model

3. Learning to Optimize: Training Deep Neural Networks for Interference Management

4. Graph Neural Networks for Wireless Communications: From Theory to Practice

5. Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-Based Approach

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