Personalized Federated Learning-Based Frequency Selection over HF Space-Ground Integrated Networks

IF 8.3 2区计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Communications Magazine Pub Date : 2024-10-22 DOI:10.1109/mcom.001.2400296

Fandi Lin, Jin Chen, Guoru Ding, Yutao Jiao, Yifan Xu

引用次数: 0

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通过高频空地一体化网络进行基于学习的个性化联合频率选择

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 Communications Magazine 工程技术-电信学

CiteScore

19.80

自引率

0.90%

发文量

333

审稿时长

3-6 weeks

期刊介绍： IEEE Communications Magazine, considered by most to be their most important member benefit, provides timely information on all aspects of communications: monthly feature articles describe technology, systems, services, market trends, development methods, regulatory and policy issues, and significant global events. These articles are complemented by a variety of departments, including: Conference Calendar, Book Reviews, the Global Communications Newsletter, Scanning the Literature, New products and Product Spotlights, Society News, Your Internet Connection, News from JSAC, and the CommuniCrostic puzzle. Articles are tutorial in nature and written in a style comprehensible to readers outside the specialty of the article. Mathematical equations are generally not used (in justified cases up to three simple equations may be allowed with the consent of the Guest Editor. The inclusion of more than three equations requires permission from the Editor-in-Chief).