SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework

IF 17.2 1区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal on Selected Areas in Communications Pub Date : 2025-10-08 DOI:10.1109/jsac.2025.3619472

Yuan Gao, Yiming Liu, Runze Yu, Shengli Liu, Yanliang Jin, Shunqing Zhang, Shugong Xu, Xiaoli Chu

引用次数: 0

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SSNet：由自监督学习框架实现的流体天线系统的灵活且稳健的信道外推

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal on Selected Areas in Communications 工程技术-电信学

CiteScore

30.00

自引率

4.30%

发文量

234

审稿时长

6 months

期刊介绍： The IEEE Journal on Selected Areas in Communications (JSAC) is a prestigious journal that covers various topics related to Computer Networks and Communications (Q1) as well as Electrical and Electronic Engineering (Q1). Each issue of JSAC is dedicated to a specific technical topic, providing readers with an up-to-date collection of papers in that area. The journal is highly regarded within the research community and serves as a valuable reference. The topics covered by JSAC issues span the entire field of communications and networking, with recent issue themes including Network Coding for Wireless Communication Networks, Wireless and Pervasive Communications for Healthcare, Network Infrastructure Configuration, Broadband Access Networks: Architectures and Protocols, Body Area Networking: Technology and Applications, Underwater Wireless Communication Networks, Game Theory in Communication Systems, and Exploiting Limited Feedback in Tomorrow’s Communication Networks.