Optimal power allocation in spatial MIMO channel using heuristic algorithms

The topic of power allocation in MIMO systems for wireless communication in order to reach high capacity or low bit error rate has gained some attention. In this paper, heuristic algorithms, including genetic and particle swarm optimization algorithms, are applied to find the optimal power allocatio...

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Main Authors: Javad Zeraatkar Moghaddam, Hamid Farrokhi
Format: Article
Language:English
Published: OICC Press 2024-02-01
Series:Majlesi Journal of Electrical Engineering
Subjects:
Online Access:https://oiccpress.com/mjee/article/view/4753
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author Javad Zeraatkar Moghaddam
Hamid Farrokhi
author_facet Javad Zeraatkar Moghaddam
Hamid Farrokhi
author_sort Javad Zeraatkar Moghaddam
collection DOAJ
description The topic of power allocation in MIMO systems for wireless communication in order to reach high capacity or low bit error rate has gained some attention. In this paper, heuristic algorithms, including genetic and particle swarm optimization algorithms, are applied to find the optimal power allocation for achieving best capacity benefit. Two cases of un-polarized and cross-polarized antennas of spatial MIMO channel modeling are studied. We demonstrate that the performance of genetic and particle swarm optimization algorithms is optimal compared with a perfect search at a reduced computational complexity. These algorithms have fast convergence and can handle large number of sub-channels without performance degradation. Both simulation and numerical results confirm that, compared to other mathematical methods, the proposed algorithms are more efficient in terms of complexity and power assignment to antennas in a MIMO system.
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institution OA Journals
issn 2345-377X
2345-3796
language English
publishDate 2024-02-01
publisher OICC Press
record_format Article
series Majlesi Journal of Electrical Engineering
spelling doaj-art-7a1e9bf5b0a74bfc8c28389ab92ee08e2025-08-20T01:47:44ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-01102Optimal power allocation in spatial MIMO channel using heuristic algorithmsJavad Zeraatkar Moghaddam0Hamid Farrokhi1UnknownUnknownThe topic of power allocation in MIMO systems for wireless communication in order to reach high capacity or low bit error rate has gained some attention. In this paper, heuristic algorithms, including genetic and particle swarm optimization algorithms, are applied to find the optimal power allocation for achieving best capacity benefit. Two cases of un-polarized and cross-polarized antennas of spatial MIMO channel modeling are studied. We demonstrate that the performance of genetic and particle swarm optimization algorithms is optimal compared with a perfect search at a reduced computational complexity. These algorithms have fast convergence and can handle large number of sub-channels without performance degradation. Both simulation and numerical results confirm that, compared to other mathematical methods, the proposed algorithms are more efficient in terms of complexity and power assignment to antennas in a MIMO system.https://oiccpress.com/mjee/article/view/4753Channel capacityGenetic AlgorithmMIMO systemsparticle swarm optimization algorithm. cross-polarized antennasspatial channel model
spellingShingle Javad Zeraatkar Moghaddam
Hamid Farrokhi
Optimal power allocation in spatial MIMO channel using heuristic algorithms
Majlesi Journal of Electrical Engineering
Channel capacity
Genetic Algorithm
MIMO systems
particle swarm optimization algorithm. cross-polarized antennas
spatial channel model
title Optimal power allocation in spatial MIMO channel using heuristic algorithms
title_full Optimal power allocation in spatial MIMO channel using heuristic algorithms
title_fullStr Optimal power allocation in spatial MIMO channel using heuristic algorithms
title_full_unstemmed Optimal power allocation in spatial MIMO channel using heuristic algorithms
title_short Optimal power allocation in spatial MIMO channel using heuristic algorithms
title_sort optimal power allocation in spatial mimo channel using heuristic algorithms
topic Channel capacity
Genetic Algorithm
MIMO systems
particle swarm optimization algorithm. cross-polarized antennas
spatial channel model
url https://oiccpress.com/mjee/article/view/4753
work_keys_str_mv AT javadzeraatkarmoghaddam optimalpowerallocationinspatialmimochannelusingheuristicalgorithms
AT hamidfarrokhi optimalpowerallocationinspatialmimochannelusingheuristicalgorithms