Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink
For the massive multiple-input multiple-output (MIMO) uplink, the linear minimum mean square error (MMSE) detector is near-optimal but involves undesirable matrix inversion. In this paper, we propose a low-complexity soft-output detector based on the simplified Broyden–Fletcher–Goldfarb–Shanno metho...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Hindawi-IET
2023-01-01
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| Series: | IET Signal Processing |
| Online Access: | http://dx.doi.org/10.1049/2023/8887060 |
| _version_ | 1797530246857097216 |
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| author | Lin Li Jianhao Hu |
| author_facet | Lin Li Jianhao Hu |
| author_sort | Lin Li |
| collection | DOAJ |
| description | For the massive multiple-input multiple-output (MIMO) uplink, the linear minimum mean square error (MMSE) detector is near-optimal but involves undesirable matrix inversion. In this paper, we propose a low-complexity soft-output detector based on the simplified Broyden–Fletcher–Goldfarb–Shanno method to realize the matrix-inversion-free MMSE detection iteratively. To accelerate convergence with minimal computational overhead, an appropriate initial solution is presented leveraging the channel-hardening property of massive MIMO. Moreover, we employ a low-complexity approximated approach to calculating the log-likelihood ratios with negligible performance losses. Simulation results finally verify that the proposed detector can achieve the near-MMSE performance with a few iterations and outperforms the recently reported linear detectors in terms of lower complexity and faster convergence for the realistic massive MIMO systems. |
| first_indexed | 2024-03-10T10:26:18Z |
| format | Article |
| id | doaj.art-66283422e64344e6a89481bc75196f87 |
| institution | Directory Open Access Journal |
| issn | 1751-9683 |
| language | English |
| last_indexed | 2024-03-10T10:26:18Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi-IET |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj.art-66283422e64344e6a89481bc75196f872023-11-22T00:00:04ZengHindawi-IETIET Signal Processing1751-96832023-01-01202310.1049/2023/8887060Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO UplinkLin Li0Jianhao Hu1School of Physics and Electronic Information EngineeringNational Key Laboratory of Science and Technology on CommunicationsFor the massive multiple-input multiple-output (MIMO) uplink, the linear minimum mean square error (MMSE) detector is near-optimal but involves undesirable matrix inversion. In this paper, we propose a low-complexity soft-output detector based on the simplified Broyden–Fletcher–Goldfarb–Shanno method to realize the matrix-inversion-free MMSE detection iteratively. To accelerate convergence with minimal computational overhead, an appropriate initial solution is presented leveraging the channel-hardening property of massive MIMO. Moreover, we employ a low-complexity approximated approach to calculating the log-likelihood ratios with negligible performance losses. Simulation results finally verify that the proposed detector can achieve the near-MMSE performance with a few iterations and outperforms the recently reported linear detectors in terms of lower complexity and faster convergence for the realistic massive MIMO systems.http://dx.doi.org/10.1049/2023/8887060 |
| spellingShingle | Lin Li Jianhao Hu Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink IET Signal Processing |
| title | Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink |
| title_full | Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink |
| title_fullStr | Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink |
| title_full_unstemmed | Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink |
| title_short | Low-Complexity BFGS-Based Soft-Output MMSE Detector for Massive MIMO Uplink |
| title_sort | low complexity bfgs based soft output mmse detector for massive mimo uplink |
| url | http://dx.doi.org/10.1049/2023/8887060 |
| work_keys_str_mv | AT linli lowcomplexitybfgsbasedsoftoutputmmsedetectorformassivemimouplink AT jianhaohu lowcomplexitybfgsbasedsoftoutputmmsedetectorformassivemimouplink |