用于超大规模毫米波/太赫兹系统的快速远/近场混合波束训练

IF 7.2 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Communications Pub Date : 2024-11-20 DOI:10.1109/tcomm.2024.3502681
Hongwei Wang, Jun Fang, Huiping Duan, Hongbin Li
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Fast Hybrid Far/Near-Field Beam Training For Extremely Large-Scale Millimeter Wave/Terahertz Systems
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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.
期刊最新文献
Fast Hybrid Far/Near-Field Beam Training For Extremely Large-Scale Millimeter Wave/Terahertz Systems PD-CEViT: A Novel Pilot Pattern Design and Channel Estimation Network for OFDM Systems Sparse channel estimation for MIMO OTFS/OTSM Systems using Finite-resolution ADCs Quantum-enhanced Federated Learning for Metaverse-empowered Vehicular Networks Robust Outage-Constrained Secrecy Rate of Hybrid Power Line and Wireless Communication with Artificial Noise-Aided Beamforming for Smart Grid
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