An Efficient Modified Gauss Seidel Precoder for Downlink Massive MIMO Systems

作者: Woon-Sang Lee , Jun-Yong Jang , Jae-Hyun Ro , Jaeho Kim , Hyoung-Kyu Song

DOI: 10.1109/ACCESS.2020.3036008

关键词:

摘要: Recently, as the demand for tremendous spectral efficiency has increased, massive multiple-input multiple-output (MIMO) system attracted attention in wireless communication system. In MIMO, zero forcing (ZF) precoder provides optimal performance. However, complexity process of matrix inversion is burden terms practical implementation. Therefore, many researches approximate channel have been performed order to reduce complexity. The typical linear based on Gauss Seidel (GS) precoder. GS similar precoded signals ZF with low does not adopt parallel implementation because inner structure. Consequently, iterative method spends a lot times estimate signal. this problem makes impractical. article, punctured (PGS) proposed mitigate operation by modifying structure performance PGS degraded due modified ordering which degradation mitigated additionally introduced. As result, although delay when signal obtained decreases than precoder, BER contrast, improved decrease compared

参考文章(18)
Xinyu Gao, Zhaocheng Wang, Linglong Dai, Shuangfeng Han, Chih-Lin I, Near-Optimal Linear Precoding with Low Complexity for Massive MIMO. arXiv: Information Theory. ,(2014)
Lu Lu, Geoffrey Ye Li, A. Lee Swindlehurst, Alexei Ashikhmin, Rui Zhang, An Overview of Massive MIMO: Benefits and Challenges IEEE Journal of Selected Topics in Signal Processing. ,vol. 8, pp. 742- 758 ,(2014) , 10.1109/JSTSP.2014.2317671
Fredrik Rusek, Daniel Persson, Buon Kiong Lau, Erik G Larsson, Thomas L Marzetta, Ove Edfors, Fredrik Tufvesson, Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays IEEE Signal Processing Magazine. ,vol. 30, pp. 40- 60 ,(2013) , 10.1109/MSP.2011.2178495
John Thompson, Xiaohu Ge, Hsiao-Chun Wu, Ralf Irmer, Hong Jiang, Gerhard Fettweis, Siavash Alamouti, 5G wireless communication systems: prospects and challenges [Guest Editorial] IEEE Communications Magazine. ,vol. 52, pp. 62- 64 ,(2014) , 10.1109/MCOM.2014.6736744
Thomas L. Marzetta, Massive MIMO: An Introduction Bell Labs Technical Journal. ,vol. 20, pp. 11- 22 ,(2015) , 10.15325/BLTJ.2015.2407793
Emil Björnson, Erik G. Larsson, Thomas L. Marzetta, Massive MIMO: ten myths and one critical question IEEE Communications Magazine. ,vol. 54, pp. 114- 123 ,(2016) , 10.1109/MCOM.2016.7402270
Zhizhen Wu, Chuan Zhang, Ye Xue, Shugong Xu, Xiaohu You, Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method 2016 IEEE International Symposium on Circuits and Systems (ISCAS). pp. 1886- 1889 ,(2016) , 10.1109/ISCAS.2016.7538940
Zhizhen Wu, Ye Xue, Xiaohu You, Chuan Zhang, Hardware efficient detection for massive MIMO uplink with parallel Gauss-Seidel method international conference on digital signal processing. pp. 1- 5 ,(2017) , 10.1109/ICDSP.2017.8096142
Nusrat Fatema, Guang Hua, Yong Xiang, Dezhong Peng, Iynkaran Natgunanathan, Massive MIMO Linear Precoding: A Survey IEEE Systems Journal. ,vol. 12, pp. 3920- 3931 ,(2018) , 10.1109/JSYST.2017.2776401