On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems
On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems
复制标题
相关大规模 MIMO 系统的低复杂度、硬件友好的三对角矩阵求逆
DOI：
10.1109/tvt.2019.2915171
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发表时间：
2018-02
影响因子：
6.8
通讯作者：
You Xiaohu
中科院分区：
文献类型：
--
作者：
Zhang Chuan;Liang Xiao;Wu Zhizhen;Wang Feng;Zhang Shunqing;Zhang Zaichen;You Xiaohu
In massive multiple-input and multiple-output (M-MIMO) systems, one of the key challenges in the implementation is the large-scale matrix inversion operation, as widely used in channel estimation, equalization, detection, and decoding procedures. Traditionally, to handle this complexity issue, several low-complexity matrix inversion approximation methods have been proposed, including the classic Cholesky decomposition and the Neumann series expansion (NSE). However, the conventional approaches failed to exploit neither the special structure of channel matrices nor the critical issues in the hardware implementation, which results in poorer throughput performance and longer processing delay. In this paper, by targeting at the correlated M-MIMO systems, we propose a modified NSE based on tridiagonal matrix inversion approximation (TMA) to accommodate the complexity as well as the performance issue in the conventional hardware implementation, and analyze the corresponding approximation errors. Meanwhile, we investigate the very-large-scale integration implementation for the proposed detection algorithm based on a Xilinx Virtex-7 XC7VX690T FPGA platform. It is shown that for correlated massive MIMO systems, it can achieve near minimum mean square error performance and 630 Mb/s throughput. Compared with other benchmark systems, the proposed pipelined TMA detector can get high throughput-to-hardware ratio. Finally, we also propose a fast iteration structure for further research.
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DOI：
10.1007/s11265-017-1313-z
发表时间：
2017-12
期刊：
Journal of Signal Processing Systems
影响因子：
--
作者：
Michael Wu;Bei Yin;Kaipeng Li;C. Dick;Joseph R. Cavallaro;Christoph Studer
通讯作者：
Michael Wu;Bei Yin;Kaipeng Li;C. Dick;Joseph R. Cavallaro;Christoph Studer
影响因子：
11.2
作者：
Wang, Cheng-Xiang;Haider, Fourat;Hepsaydir, Erol
通讯作者：
Hepsaydir, Erol
DOI：
10.1109/asicon.2015.7517048
发表时间：
2015-11
期刊：
2015 IEEE 11th International Conference on ASIC (ASICON)
影响因子：
--
作者：
X. Liang;Chuan Zhang;Shugong Xu;X. You
通讯作者：
X. Liang;Chuan Zhang;Shugong Xu;X. You
影响因子：
--
作者：
D. Shnidman
通讯作者：
D. Shnidman
DOI：
10.1109/tcom.1975.1092893
发表时间：
1975-08
期刊：
IEEE Trans. Commun.
影响因子：
--
作者：
W. Etten
通讯作者：
W. Etten