Network Access Selection for URLLC and eMBB Applications in Sub-6GHz-mmWave-THz Networks: Game Theory Versus Multi-Agent Reinforcement Learning

IF 7.2 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Communications Pub Date : 2025-01-01 DOI:10.1109/tcomm.2024.3524944
Nguyen Thi Thanh Van, Nguyen Le Tuan, Nguyen Cong Luong, Tien Hoa Nguyen, Shaohan Feng, Shimin Gong, Dusit Niyato, Dong In Kim
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Sub-6GHz-mmWave-THz网络中URLLC和eMBB应用的网络接入选择:博弈论与多智能体强化学习
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来源期刊
IEEE Transactions on Communications
IEEE Transactions on Communications 工程技术-电信学
CiteScore
16.10
自引率
8.40%
发文量
528
审稿时长
4.1 months
期刊介绍: The IEEE Transactions on Communications is dedicated to publishing high-quality manuscripts that showcase advancements in the state-of-the-art of telecommunications. Our scope encompasses all aspects of telecommunications, including telephone, telegraphy, facsimile, and television, facilitated by electromagnetic propagation methods such as radio, wire, aerial, underground, coaxial, and submarine cables, as well as waveguides, communication satellites, and lasers. We cover telecommunications in various settings, including marine, aeronautical, space, and fixed station services, addressing topics such as repeaters, radio relaying, signal storage, regeneration, error detection and correction, multiplexing, carrier techniques, communication switching systems, data communications, and communication theory. Join us in advancing the field of telecommunications through groundbreaking research and innovation.
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Table of Contents IEEE Communications Society Information IEEE Transactions on Communications Publication Information Blank Page Parity-Check Aided Polarizing Matrix Extension for Efficient IR-HARQ Transmission
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