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Multiple-compression-rate CSI feedback for mm-wave massive MIMO based on federated learning

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成果类型:
期刊论文
作者:
Hu, Bo;Xu, Hongbo;Wang, Ze;Zhao, Li;Zhou, Aizhi
通讯作者:
Wang, Z
作者机构:
[Xu, Hongbo; Wang, Ze; Zhao, Li; Hu, Bo; Zhou, Aizhi] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China.
通讯机构:
[Wang, Z ] C
Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
mm-wave massive MIMO;CSI feedback;Federated learning;Multiple-rate
期刊:
Physical Communication
ISSN:
1874-4907
年:
2024
卷:
63
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
In mm -wave massive multiple -input -multiple -output (MIMO) systems, accurate channel state information (CSI) at the base station (BS) is the key knowledge to obtain the performance gain. Consequently, the user is not only required to complete the channel estimation, but also to feedback CSI to the BS. However, large-scale antenna arrays result in a substantial feedback overhead, which poses a challenging issue. Furthermore, the accuracy requirements of channel estimation and CSI feedback depend on the computing capacity of the user. In this paper, we propose a joint channel estimation and mu...

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