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...

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Autores principales:	Jonathan C. Hedstrom, Ahmad Rezazadehreyhani, Chung Him Yuen, Behrouz Farhang-Boroujeny
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	MIMO communications soft detector stochastic detector Telecommunication TK5101-6720 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/2aaa77cf7e7346238a0a0b7b5b5aaec2
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spelling	oai:doaj.org-article:2aaa77cf7e7346238a0a0b7b5b5aaec22021-11-05T23:00:30ZA Capacity Achieving MIMO Detector Based on Stochastic Sampling2644-125X10.1109/OJCOMS.2021.3122916https://doaj.org/article/2aaa77cf7e7346238a0a0b7b5b5aaec22021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9585526/https://doaj.org/toc/2644-125XSpatial-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.Jonathan C. HedstromAhmad RezazadehreyhaniChung Him YuenBehrouz Farhang-BoroujenyIEEEarticleMIMO communicationssoft detectorstochastic detectorTelecommunicationTK5101-6720Transportation and communicationsHE1-9990ENIEEE Open Journal of the Communications Society, Vol 2, Pp 2436-2448 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	MIMO communications soft detector stochastic detector Telecommunication TK5101-6720 Transportation and communications HE1-9990
spellingShingle	MIMO communications soft detector stochastic detector Telecommunication TK5101-6720 Transportation and communications HE1-9990 Jonathan C. Hedstrom Ahmad Rezazadehreyhani Chung Him Yuen Behrouz Farhang-Boroujeny A Capacity Achieving MIMO Detector Based on Stochastic Sampling
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.
format	article
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
title	A Capacity Achieving MIMO Detector Based on Stochastic Sampling
title_short	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_sort	capacity achieving mimo detector based on stochastic sampling
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/2aaa77cf7e7346238a0a0b7b5b5aaec2
work_keys_str_mv	AT jonathanchedstrom acapacityachievingmimodetectorbasedonstochasticsampling AT ahmadrezazadehreyhani acapacityachievingmimodetectorbasedonstochasticsampling AT chunghimyuen acapacityachievingmimodetectorbasedonstochasticsampling AT behrouzfarhangboroujeny acapacityachievingmimodetectorbasedonstochasticsampling AT jonathanchedstrom capacityachievingmimodetectorbasedonstochasticsampling AT ahmadrezazadehreyhani capacityachievingmimodetectorbasedonstochasticsampling AT chunghimyuen capacityachievingmimodetectorbasedonstochasticsampling AT behrouzfarhangboroujeny capacityachievingmimodetectorbasedonstochasticsampling
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A Capacity Achieving MIMO Detector Based on Stochastic Sampling

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