Massive MIMO in Mobile Networks: Self-Calibration with Channel Estimation Error

De Mi, Hongzhi Chen, Zhen Gao, Lei Zhang, Pei Xiao

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Time-division-duplexing (TDD) massive multiple-input multiple-output (MIMO) systems will play a crucial role in the deployment of emerging mobile networks in 5G and beyond. Such systems heavily rely on the reciprocity-based channel estimation for its scalability. However, the imperfect channel reciprocity, mainly caused by radio-frequency mismatches among the base station antennas, can contaminate the estimate of the effective channel response thus become a performance-limiting factor. In practice, self-calibration schemes are often applied to compensate for this type of imperfections. This work investigates two self-calibration schemes, namely relative calibration and inverse calibration. Considering a TDD massive multi-user MIMO system in the presence of both channel reciprocity error and imperfect channel estimation, we derive closed-form expressions for the receive mean-square error and provide an in-depth comparative analysis of the post-equalisation performance of two calibration schemes. The proposed analytical results are verified via Monte-Carlo simulations.

源语言英语
主期刊名MobiArch 2020 - Proceedings of the 2020 ACM MobiArch 2020 the 15th Workshop on Mobility in the Evolving Internet Architecture, Part of Mobicom 2020
出版商Association for Computing Machinery, Inc
30-35
页数6
ISBN(电子版)9781450380812
DOI
出版状态已出版 - 21 9月 2020
活动15th ACM Workshop on Mobility in the Evolving Internet Architecture, MobiArch 2020 - Part of Mobicom 2020 - London, 英国
期限: 21 9月 2020 → …

出版系列

姓名MobiArch 2020 - Proceedings of the 2020 ACM MobiArch 2020 the 15th Workshop on Mobility in the Evolving Internet Architecture, Part of Mobicom 2020

会议

会议15th ACM Workshop on Mobility in the Evolving Internet Architecture, MobiArch 2020 - Part of Mobicom 2020
国家/地区英国
London
时期21/09/20 → …

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