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Large language model empowered next-generation MIMO networks:fundamentals,challenges,and visions

Zhe Wang Jiayi Zhang Hongyang Du Ruichen Zhang Dusit Niyato Bo Ai Khaled B.Letaief

数字通信与网络(英文)2026,Vol.12Issue(6):894-902,9.
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数字通信与网络(英文)2026,Vol.12Issue(6):894-902,9.DOI:10.1016/j.dcan.2025.12.005

Large language model empowered next-generation MIMO networks:fundamentals,challenges,and visions

Large language model empowered next-generation MIMO networks:fundamentals,challenges,and visions

Zhe Wang 1Jiayi Zhang 1Hongyang Du 2Ruichen Zhang 3Dusit Niyato 3Bo Ai 1Khaled B.Letaief4

作者信息

  • 1. State Key Laboratory of Advanced Rail Autonomous Operation,Beijing Jiaotong University,Beijing,100044,China||School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing,100044,China
  • 2. Department of Electrical and Electronic Engineering,University of Hong Kong,Hong Kong SAR 999077,China
  • 3. College of Computing&Data Science,Nanyang Technological University,639798,Singapore
  • 4. Department of Electrical and Computer Engineering,Hong Kong University of Science and Technology,Hong Kong SAR 999077,China
  • 折叠

摘要

关键词

Generative AI agent/Large language model/Retrieval augmented generation/Next-generation MIMO

Key words

Generative AI agent/Large language model/Retrieval augmented generation/Next-generation MIMO

引用本文复制引用

Zhe Wang,Jiayi Zhang,Hongyang Du,Ruichen Zhang,Dusit Niyato,Bo Ai,Khaled B.Letaief..Large language model empowered next-generation MIMO networks:fundamentals,challenges,and visions[J].数字通信与网络(英文),2026,12(6):894-902,9.

基金项目

This work was supported in part by the Fundamental Research Funds for the Central Universities under Grant 2025JBZX037,in part by Na-tional Natural Science Foundation of China under Grant 62471027&62221001,in part by the Fundamental Research Funds for the Natu-ral Science Foundation of Jiangsu Province,Major Project under Grant BK20212002 and in part by ZTE Industry-University-Institute Coop-eration Funds under Grant No.IA20250115003-PO0001,in part by Seatrium New Energy Laboratory,Singapore Ministry of Education(MOE)Tier 1(RT5/23 and RG24/24),the NTU Centre for Computa-tional Technologies in Finance(NTU-CCTF),and the RIE2025 Indus-try Alignment Fund-Industry Collaboration Projects(IAF-ICP)(Award I2301E0026),administered by A*STAR,in part by the Hong Kong Re-search Grant Council under Grant No.16209023. (MOE)

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