Exploiting Temporal Channel Correlation in Data-Assisted Massive MIMO Uplink Detection

被引：9
|
作者：
Li, Yang [1 ]
Wang, Rui [2 ]
Chen, Yifan [2 ]
Zhu, Shihua [1 ]
机构：
[1] Xi An Jiao Tong Univ, Dept Informat & Commun Engn, Xian 710049, Peoples R China
[2] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2017年 / 21卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Massive MIMO; channel estimation; pilot contamination;
D O I：
10.1109/LCOMM.2016.2619341
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
A data-assisted channel estimation scheme to exploit the temporal channel correlation in massive multiple-input multiple-output uplink transmission is proposed. Specifically, the previous decoded uplink frame is used to suppress the inter-cell interference in the channel estimation of the current frame. Based on the proposed scheme, we derive the asymptotic signal-to-interference expression, and the insights on how the network and channel parameters affect the system performance are obtained. It is shown numerically and analytically that the data-assisted scheme can reduce channel estimation errors and improve the signal-to-interference performance of uplink massive MIMO systems significantly with the appropriate channel temporal correlation.
引用
收藏
页码：430 / 433
页数：4
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