Pilot Decontamination in Multi-Cell Massive MIMO Systems via Combining Semi-Blind Channel Estimation With Pilot Assignment

被引:10
|
作者
Hu, Cheng [1 ]
Wang, Hong [1 ]
Song, Rongfang [1 ,2 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Commun & Informat Engn, Nanjing 210003, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Minist Educ, Key Lab Broadband Wireless Commun & Sensor Networ, Nanjing 210003, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
基金
中国博士后科学基金;
关键词
Channel estimation; Interference; MIMO communication; Contamination; Uplink; Computer architecture; Eigenvalues and eigenfunctions; Massive MIMO; pilot decontamination; semi-blind channel estimation; pilot assignment; CONTAMINATION;
D O I
10.1109/ACCESS.2020.3015263
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the multi-cell massive multiple-input multiple-output (MIMO) systems, the mitigation of pilot contamination is an important issue in the semi-blind channel estimations. For the pilot decontamination schemes, the performance of the semi-blind based estimation approaches is constrained by the ratio of the interference signal power to the target signal power. In order to eliminate pilot contamination effectively, the eigenvalues of the target signals should be separated from those of the interference signals. In this paper, we propose a novel uplink channel estimation for mitigating pilot contamination in time division duplex massive MIMO systems, which combines pilot assignments with semi-blind channel estimation methods. In order to reduce the search complexity for the optimal pilot assignment under the condition of a large number of users per cell, we proposed a sector-based pilot assignment method, including inter-sector pilot assignment and intra-sector pilot optimization. Simulation results verify that the joint pilot allocation and semi-blind channel estimation method is capable of improving the system achievable rates and the normalized mean square error performance.
引用
收藏
页码:152952 / 152962
页数:11
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