Low complexity hybrid iterative algorithm based signal detection in massive MIMO system
Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which ma...
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| Format: | Article |
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Beijing Xintong Media Co., Ltd
2017-07-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017186/ |
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| author | Shufeng ZHAO Bin SHEN Furong YANG |
| author_facet | Shufeng ZHAO Bin SHEN Furong YANG |
| author_sort | Shufeng ZHAO |
| collection | DOAJ |
| description | Among the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K <sup>2</sup>). |
| format | Article |
| id | doaj-art-8aa79ed28b79467596172246fb19d934 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-07-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-8aa79ed28b79467596172246fb19d9342025-01-15T03:12:27ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-07-0133394659601110Low complexity hybrid iterative algorithm based signal detection in massive MIMO systemShufeng ZHAOBin SHENFurong YANGAmong the uplink signal detection algorithms for massive MIMO systems,the minimum mean square error (MMSE) algorithm can achieve the near-optimal linear detection performance.However,conventional MMSE usually involves high complexity due to the required matrix inversion of large-size matrix,which makes it hard to implement in realistic applications.Based on joint steepest descent (SD) algorithm and Gauss-Seidel iteration,a low complexity hybrid iterative detection algorithm was proposed.The SD algorithm was employed to obtain an efficient searching direction for the following Gauss-Seidel to speed up convergence.Meanwhile,an approximated method was also proposed to compute the bit log-likelihood ratio (LLR) for soft channel decoding.Simulation results verify that the proposed algorithm can converge rapidly and achieve its performance quite close to that of the MMSE algorithm with only a small number of iterations.Meanwhile,the complexity is reduced by an order of magnitude,which is kept consistently of O(K <sup>2</sup>).http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017186/massive MIMOminimum mean square errormatrix inversionsteepest descentGauss-Seidel interativesoft-output |
| spellingShingle | Shufeng ZHAO Bin SHEN Furong YANG Low complexity hybrid iterative algorithm based signal detection in massive MIMO system Dianxin kexue massive MIMO minimum mean square error matrix inversion steepest descent Gauss-Seidel interative soft-output |
| title | Low complexity hybrid iterative algorithm based signal detection in massive MIMO system |
| title_full | Low complexity hybrid iterative algorithm based signal detection in massive MIMO system |
| title_fullStr | Low complexity hybrid iterative algorithm based signal detection in massive MIMO system |
| title_full_unstemmed | Low complexity hybrid iterative algorithm based signal detection in massive MIMO system |
| title_short | Low complexity hybrid iterative algorithm based signal detection in massive MIMO system |
| title_sort | low complexity hybrid iterative algorithm based signal detection in massive mimo system |
| topic | massive MIMO minimum mean square error matrix inversion steepest descent Gauss-Seidel interative soft-output |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2017186/ |
| work_keys_str_mv | AT shufengzhao lowcomplexityhybriditerativealgorithmbasedsignaldetectioninmassivemimosystem AT binshen lowcomplexityhybriditerativealgorithmbasedsignaldetectioninmassivemimosystem AT furongyang lowcomplexityhybriditerativealgorithmbasedsignaldetectioninmassivemimosystem |