A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems
In massive MIMO systems,due to inversion of Hermitian matrix,the complexity of the traditional ZF precoding method increases exponentially with increase of the number of users.To solve this problem,a low complexity digital ZF precoding scheme based on weighted Gauss-Seidel (WGS) was proposed.That wa...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-03-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019048/ |
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| author | Dong ZHOU Haiyan CAO Fangmin XU Xin FANG Xiumin WANG |
| author_facet | Dong ZHOU Haiyan CAO Fangmin XU Xin FANG Xiumin WANG |
| author_sort | Dong ZHOU |
| collection | DOAJ |
| description | In massive MIMO systems,due to inversion of Hermitian matrix,the complexity of the traditional ZF precoding method increases exponentially with increase of the number of users.To solve this problem,a low complexity digital ZF precoding scheme based on weighted Gauss-Seidel (WGS) was proposed.That was weighted addtion the iteration results of previous step and Gausee-Seidel iteration results to accelerate the iterative convergence.The weighting factor was determined by the least mean square sum,and the weighting factor was proved to make the algorithm converge.The simulation results show that the WGS algorithm can approximate the performance of ZF precoding scheme with very few iterations,and reduce the complexity of ZF precoding from O(K <sup>3</sup>) to O(K<sup>2</sup>),where K is the number of users. |
| format | Article |
| id | doaj-art-ffffa05b6a05422d90cf8ddf6b74fc8a |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-03-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-ffffa05b6a05422d90cf8ddf6b74fc8a2025-01-15T03:03:10ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-03-0135697559590613A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systemsDong ZHOUHaiyan CAOFangmin XUXin FANGXiumin WANGIn massive MIMO systems,due to inversion of Hermitian matrix,the complexity of the traditional ZF precoding method increases exponentially with increase of the number of users.To solve this problem,a low complexity digital ZF precoding scheme based on weighted Gauss-Seidel (WGS) was proposed.That was weighted addtion the iteration results of previous step and Gausee-Seidel iteration results to accelerate the iterative convergence.The weighting factor was determined by the least mean square sum,and the weighting factor was proved to make the algorithm converge.The simulation results show that the WGS algorithm can approximate the performance of ZF precoding scheme with very few iterations,and reduce the complexity of ZF precoding from O(K <sup>3</sup>) to O(K<sup>2</sup>),where K is the number of users.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019048/massive MIMOZF precodingweighted Gauss-Seidellow complexity |
| spellingShingle | Dong ZHOU Haiyan CAO Fangmin XU Xin FANG Xiumin WANG A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems Dianxin kexue massive MIMO ZF precoding weighted Gauss-Seidel low complexity |
| title | A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems |
| title_full | A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems |
| title_fullStr | A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems |
| title_full_unstemmed | A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems |
| title_short | A low complexity ZF precoding scheme based on weighted Gauss-Seidel in massive MIMO systems |
| title_sort | low complexity zf precoding scheme based on weighted gauss seidel in massive mimo systems |
| topic | massive MIMO ZF precoding weighted Gauss-Seidel low complexity |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019048/ |
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