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On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System
Millimeter wave (mmWave) relying upon the multiple output multiple input (MIMO) is a new potential candidate for fulfilling the huge emerging bandwidth requirements. Due to the short wavelength and the complicated hardware architecture of mmWave MIMO systems, the conventional estimation strategies b...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597249/ https://www.ncbi.nlm.nih.gov/pubmed/33286890 http://dx.doi.org/10.3390/e22101121 |
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author | Srivastav, Prateek Saurabh Chen, Lan Wahla, Arfan Haider |
author_facet | Srivastav, Prateek Saurabh Chen, Lan Wahla, Arfan Haider |
author_sort | Srivastav, Prateek Saurabh |
collection | PubMed |
description | Millimeter wave (mmWave) relying upon the multiple output multiple input (MIMO) is a new potential candidate for fulfilling the huge emerging bandwidth requirements. Due to the short wavelength and the complicated hardware architecture of mmWave MIMO systems, the conventional estimation strategies based on the individual exploitation of sparsity or low rank properties are no longer efficient and hence more modern and advance estimation strategies are required to recapture the targeted channel matrix. Therefore, in this paper, we proposed a novel channel estimation strategy based on the symmetrical version of alternating direction methods of multipliers (S-ADMM), which exploits the sparsity and low rank property of channel altogether in a symmetrical manner. In S-ADMM, at each iteration, the Lagrange multipliers are updated twice which results symmetrical handling of all of the available variables in optimization problem. To validate the proposed algorithm, numerous computer simulations have been carried out which straightforwardly depicts that the S-ADMM performed well in terms of convergence as compared to other benchmark algorithms and also able to provide global optimal solutions for the strictly convex mmWave joint channel estimation optimization problem. |
format | Online Article Text |
id | pubmed-7597249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75972492020-11-09 On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System Srivastav, Prateek Saurabh Chen, Lan Wahla, Arfan Haider Entropy (Basel) Article Millimeter wave (mmWave) relying upon the multiple output multiple input (MIMO) is a new potential candidate for fulfilling the huge emerging bandwidth requirements. Due to the short wavelength and the complicated hardware architecture of mmWave MIMO systems, the conventional estimation strategies based on the individual exploitation of sparsity or low rank properties are no longer efficient and hence more modern and advance estimation strategies are required to recapture the targeted channel matrix. Therefore, in this paper, we proposed a novel channel estimation strategy based on the symmetrical version of alternating direction methods of multipliers (S-ADMM), which exploits the sparsity and low rank property of channel altogether in a symmetrical manner. In S-ADMM, at each iteration, the Lagrange multipliers are updated twice which results symmetrical handling of all of the available variables in optimization problem. To validate the proposed algorithm, numerous computer simulations have been carried out which straightforwardly depicts that the S-ADMM performed well in terms of convergence as compared to other benchmark algorithms and also able to provide global optimal solutions for the strictly convex mmWave joint channel estimation optimization problem. MDPI 2020-10-03 /pmc/articles/PMC7597249/ /pubmed/33286890 http://dx.doi.org/10.3390/e22101121 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Srivastav, Prateek Saurabh Chen, Lan Wahla, Arfan Haider On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System |
title | On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System |
title_full | On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System |
title_fullStr | On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System |
title_full_unstemmed | On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System |
title_short | On the Performance of Efficient Channel Estimation Strategies for Hybrid Millimeter Wave MIMO System |
title_sort | on the performance of efficient channel estimation strategies for hybrid millimeter wave mimo system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597249/ https://www.ncbi.nlm.nih.gov/pubmed/33286890 http://dx.doi.org/10.3390/e22101121 |
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