A Capacity Achieving MIMO Detector Based on Stochastic Sampling
Spatial-multiplexing multiple-input multiple-output (MIMO) systems have been developed and enhanced over the past two decades. In particular, a great amount of effort has gone towards development of capacity achieving detectors with affordable computational complexity. The developed detectors may be...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9585526/ |
| _version_ | 1818978575329525760 |
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| author | Jonathan C. Hedstrom Ahmad Rezazadehreyhani Chung Him Yuen Behrouz Farhang-Boroujeny |
| author_facet | Jonathan C. Hedstrom Ahmad Rezazadehreyhani Chung Him Yuen Behrouz Farhang-Boroujeny |
| author_sort | Jonathan C. Hedstrom |
| collection | DOAJ |
| description | Spatial-multiplexing multiple-input multiple-output (MIMO) systems have been developed and enhanced over the past two decades. In particular, a great amount of effort has gone towards development of capacity achieving detectors with affordable computational complexity. The developed detectors may be broadly divided into two classes: (i) deterministic sampling, such as list sphere decoding detector; and (ii) stocastic sampling, such as those based on Markov chain Monte Carlo (MCMC) search schemes. This paper proposes a novel detection scheme that is based on stochastic sampling, but is fundamentally different from the MCMC detectors. While MCMC follows a set of sequential sampling steps, hence, the sample sets obtained are highly correlated, the method proposed in this paper takes stochastic samples that are completely independent. This new approach of stochastic sampling leads to a detector with significantly reduced complexity. It also allows reduction in the detector latency. |
| first_indexed | 2024-12-20T16:45:49Z |
| format | Article |
| id | doaj.art-2aaa77cf7e7346238a0a0b7b5b5aaec2 |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-12-20T16:45:49Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-2aaa77cf7e7346238a0a0b7b5b5aaec22022-12-21T19:32:55ZengIEEEIEEE Open Journal of the Communications Society2644-125X2021-01-0122436244810.1109/OJCOMS.2021.31229169585526A Capacity Achieving MIMO Detector Based on Stochastic SamplingJonathan C. Hedstrom0https://orcid.org/0000-0003-1071-6136Ahmad Rezazadehreyhani1https://orcid.org/0000-0001-5561-3400Chung Him Yuen2https://orcid.org/0000-0001-6645-3000Behrouz Farhang-Boroujeny3https://orcid.org/0000-0003-3008-6725Department of ECE, University of Utah, Salt Lake City, UT, USADepartment of ECE, University of Utah, Salt Lake City, UT, USADepartment of ECE, University of Utah, Salt Lake City, UT, USADepartment of ECE, University of Utah, Salt Lake City, UT, USASpatial-multiplexing multiple-input multiple-output (MIMO) systems have been developed and enhanced over the past two decades. In particular, a great amount of effort has gone towards development of capacity achieving detectors with affordable computational complexity. The developed detectors may be broadly divided into two classes: (i) deterministic sampling, such as list sphere decoding detector; and (ii) stocastic sampling, such as those based on Markov chain Monte Carlo (MCMC) search schemes. This paper proposes a novel detection scheme that is based on stochastic sampling, but is fundamentally different from the MCMC detectors. While MCMC follows a set of sequential sampling steps, hence, the sample sets obtained are highly correlated, the method proposed in this paper takes stochastic samples that are completely independent. This new approach of stochastic sampling leads to a detector with significantly reduced complexity. It also allows reduction in the detector latency.https://ieeexplore.ieee.org/document/9585526/MIMO communicationssoft detectorstochastic detector |
| spellingShingle | Jonathan C. Hedstrom Ahmad Rezazadehreyhani Chung Him Yuen Behrouz Farhang-Boroujeny A Capacity Achieving MIMO Detector Based on Stochastic Sampling IEEE Open Journal of the Communications Society MIMO communications soft detector stochastic detector |
| title | A Capacity Achieving MIMO Detector Based on Stochastic Sampling |
| title_full | A Capacity Achieving MIMO Detector Based on Stochastic Sampling |
| title_fullStr | A Capacity Achieving MIMO Detector Based on Stochastic Sampling |
| title_full_unstemmed | A Capacity Achieving MIMO Detector Based on Stochastic Sampling |
| title_short | A Capacity Achieving MIMO Detector Based on Stochastic Sampling |
| title_sort | capacity achieving mimo detector based on stochastic sampling |
| topic | MIMO communications soft detector stochastic detector |
| url | https://ieeexplore.ieee.org/document/9585526/ |
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