Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems

Abstract Sum‐rate optimization problem is a key issue in a time‐varying multi‐user multi‐input multi‐output (MU‐MIMO) distributed antenna system. Channel precoding matrix is the key technology in the achievable sum‐rate optimization problem. In this paper, two algorithms are proposed to solve the ac...

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Autores principales:	Shaoguo Xie, Liefu Ai
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/229fad6790bc4db29c861cd8d8dfaad6
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id	oai:doaj.org-article:229fad6790bc4db29c861cd8d8dfaad6
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spelling	oai:doaj.org-article:229fad6790bc4db29c861cd8d8dfaad62021-11-09T04:19:39ZSum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems1751-86361751-862810.1049/cmu2.12290https://doaj.org/article/229fad6790bc4db29c861cd8d8dfaad62021-12-01T00:00:00Zhttps://doi.org/10.1049/cmu2.12290https://doaj.org/toc/1751-8628https://doaj.org/toc/1751-8636Abstract Sum‐rate optimization problem is a key issue in a time‐varying multi‐user multi‐input multi‐output (MU‐MIMO) distributed antenna system. Channel precoding matrix is the key technology in the achievable sum‐rate optimization problem. In this paper, two algorithms are proposed to solve the achievable sum‐rate optimization problem for a time‐varying MU‐MIMO distributed antenna system, namely one‐dimensional search algorithm (OSA) and cyclic MMSE (Minimum Mean Square Error) search algorithm (CMSA). In order to design the channel precoding matrix for the achievable sum‐rate optimization, a one‐dimensional search algorithm is proposed in the time‐varying MU‐MIMO distributed antenna system. For the problem with a large amount of computation in OSA, a cyclic MMSE search algorithm is proposed in the time‐varying MU‐MIMO distributed antenna system. Simulation results show that the proposed algorithms can effectively improve the sum‐rate compared to other algorithms. Simulation results also show that OSA is superior to CMSA in the sum‐rate, and the channel state information (CSI) coefficient has little effect on OSA and CMSA.Shaoguo XieLiefu AiWileyarticleTelecommunicationTK5101-6720ENIET Communications, Vol 15, Iss 19, Pp 2482-2491 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Shaoguo Xie Liefu Ai Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems
description	Abstract Sum‐rate optimization problem is a key issue in a time‐varying multi‐user multi‐input multi‐output (MU‐MIMO) distributed antenna system. Channel precoding matrix is the key technology in the achievable sum‐rate optimization problem. In this paper, two algorithms are proposed to solve the achievable sum‐rate optimization problem for a time‐varying MU‐MIMO distributed antenna system, namely one‐dimensional search algorithm (OSA) and cyclic MMSE (Minimum Mean Square Error) search algorithm (CMSA). In order to design the channel precoding matrix for the achievable sum‐rate optimization, a one‐dimensional search algorithm is proposed in the time‐varying MU‐MIMO distributed antenna system. For the problem with a large amount of computation in OSA, a cyclic MMSE search algorithm is proposed in the time‐varying MU‐MIMO distributed antenna system. Simulation results show that the proposed algorithms can effectively improve the sum‐rate compared to other algorithms. Simulation results also show that OSA is superior to CMSA in the sum‐rate, and the channel state information (CSI) coefficient has little effect on OSA and CMSA.
format	article
author	Shaoguo Xie Liefu Ai
author_facet	Shaoguo Xie Liefu Ai
author_sort	Shaoguo Xie
title	Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems
title_short	Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems
title_full	Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems
title_fullStr	Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems
title_full_unstemmed	Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems
title_sort	sum‐rate optimization scheme for time‐varying distributed mu‐mimo systems
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/229fad6790bc4db29c861cd8d8dfaad6
work_keys_str_mv	AT shaoguoxie sumrateoptimizationschemefortimevaryingdistributedmumimosystems AT liefuai sumrateoptimizationschemefortimevaryingdistributedmumimosystems
_version_	1718441277589028864

Sum‐rate optimization scheme for time‐varying distributed MU‐MIMO systems

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