On the Performance of Iterative Receivers in Massive MIMO Systems with Pilot Contamination

被引：0
|
作者：
Huang, Yuqi [1 ,2 ]
Tang, Wenrui [1 ]
Wei, Hao [1 ]
Li, Jiamin [1 ]
Wang, Dongming [1 ]
Su, Xin [2 ]
机构：
[1] Southeast Univ, Natl Mobile Commun Res Lab, Hong Kong, Peoples R China
[2] State Key Lab Wireless Mobile Commun CAFT, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2014年
关键词：
LOW-COMPLEXITY; EQUALIZATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we study iterative detection algorithms of the multi-cell multi-user massive MIMO systems with pilot contamination. First, a iterative algorithm applying soft decision interference cancellation is introduced. It is based on minimum mean square error (MMSE) filter and derived from [1] where it was applied in block transmission. Then, by considering the algorithm complexity, two iterative soft input soft output (SISO) detection algorithms, which avoid matrix inversion, are presented: a soft interference cancellation algorithm for the polynomial expansion linear detector (PELD) and a SISO detector based on singular value decomposition (SVD). Moreover, matched filter-SISO (MF-SISO) is given as a special case of PELD-SISO. Simulation comparisons of iterative detection algorithms in massive MIMO systems are presented, which are of great significance for the future research.
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页码：52 / +
页数：2
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