Joint Admission and Power Control for Massive Connections via Graph Neural Network-Reference-Cited by-同舟云学术

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Joint Admission and Power Control for Massive Connections via Graph Neural Network

Published:2024-08 Issue:8 Volume:73 Page:11806-11820
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Yang Mengke¹^ORCID,Zhai Daosen¹^ORCID,Zhang Ruonan¹^ORCID,Li Bin¹^ORCID,Cai Lin²^ORCID,Yu F. Richard³^ORCID

Affiliation:

1. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China

2. Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC, Canada

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Open Research Fund of National Mobile Communications Research Laboratory, Southeast University

Key Research and Development Plan of Shaanxi Province

Natural Science Foundation of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10637911/10452816.pdf?arnumber=10452816

Reference44 articles.

1. Enabling Massive IoT Toward 6G: A Comprehensive Survey

2. Integration of Energy, Computation and Communication in 6G Cellular Internet of Things

3. Toward 6G Architecture for Energy-Efficient Communication in IoT-Enabled Smart Automation Systems

4. A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies

5. On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

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