An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser System

<p>This paper describes a multiuser scenario with several terminals acceding simultaneously to the same frequency channel. The objective is to design an optimal multiuser system that may be used as a comparative framework when evaluating other suboptimal solutions and to contribute to the alre...

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Main Authors: Pascual-Iserte Antonio, P&#233;rez-Neira Ana I., Lagunas Miguel &#193;ngel
Format: Article
Language:English
Published: SpringerOpen 2004-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:http://dx.doi.org/10.1155/S1687147204406033
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spelling doaj-0d727bd1a3324673bcbac9e86b1633b72020-11-25T02:00:58ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992004-01-0120042210221An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser SystemPascual-Iserte AntonioP&#233;rez-Neira Ana I.Lagunas Miguel &#193;ngel<p>This paper describes a multiuser scenario with several terminals acceding simultaneously to the same frequency channel. The objective is to design an optimal multiuser system that may be used as a comparative framework when evaluating other suboptimal solutions and to contribute to the already published works on this topic. The present work assumes that a centralized manager knows perfectly all the channel responses between all the terminals. According to this, the transmitters and receivers, using antenna arrays and leading to the so-called multiple-input-multiple-output (MIMO) channels, are designed in a joint beamforming approach, attempting to minimize the total transmit power subject to quality of service (QoS) constraints. Since this optimization problem is not convex, the use of the simulated annealing (SA) technique is proposed to find the optimum solution.</p>http://dx.doi.org/10.1155/S1687147204406033multiuser systemssimulated annealingantenna arraysMIMO systemsorthogonal frequency division multiplexingjoint beamforming
collection DOAJ
language English
format Article
sources DOAJ
author Pascual-Iserte Antonio
P&#233;rez-Neira Ana I.
Lagunas Miguel &#193;ngel
spellingShingle Pascual-Iserte Antonio
P&#233;rez-Neira Ana I.
Lagunas Miguel &#193;ngel
An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser System
EURASIP Journal on Wireless Communications and Networking
multiuser systems
simulated annealing
antenna arrays
MIMO systems
orthogonal frequency division multiplexing
joint beamforming
author_facet Pascual-Iserte Antonio
P&#233;rez-Neira Ana I.
Lagunas Miguel &#193;ngel
author_sort Pascual-Iserte Antonio
title An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser System
title_short An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser System
title_full An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser System
title_fullStr An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser System
title_full_unstemmed An Approach to Optimum Joint Beamforming Design in a MIMO-OFDM Multiuser System
title_sort approach to optimum joint beamforming design in a mimo-ofdm multiuser system
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2004-01-01
description <p>This paper describes a multiuser scenario with several terminals acceding simultaneously to the same frequency channel. The objective is to design an optimal multiuser system that may be used as a comparative framework when evaluating other suboptimal solutions and to contribute to the already published works on this topic. The present work assumes that a centralized manager knows perfectly all the channel responses between all the terminals. According to this, the transmitters and receivers, using antenna arrays and leading to the so-called multiple-input-multiple-output (MIMO) channels, are designed in a joint beamforming approach, attempting to minimize the total transmit power subject to quality of service (QoS) constraints. Since this optimization problem is not convex, the use of the simulated annealing (SA) technique is proposed to find the optimum solution.</p>
topic multiuser systems
simulated annealing
antenna arrays
MIMO systems
orthogonal frequency division multiplexing
joint beamforming
url http://dx.doi.org/10.1155/S1687147204406033
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