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Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology
Hybrid beamforming is a viable method for lowering the complexity and expense of massive multiple-input multiple-output systems while achieving high data rates on track with digital beamforming. To this end, the purpose of the research reported in this paper is to assess the effectiveness of the thr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458417/ https://www.ncbi.nlm.nih.gov/pubmed/37631830 http://dx.doi.org/10.3390/s23167294 |
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author | Hamid, Shahid Chopra, Shakti Raj Gupta, Akhil Tanwar, Sudeep Florea, Bogdan Cristian Taralunga, Dragos Daniel Alfarraj, Osama Shehata, Ahmed M. |
author_facet | Hamid, Shahid Chopra, Shakti Raj Gupta, Akhil Tanwar, Sudeep Florea, Bogdan Cristian Taralunga, Dragos Daniel Alfarraj, Osama Shehata, Ahmed M. |
author_sort | Hamid, Shahid |
collection | PubMed |
description | Hybrid beamforming is a viable method for lowering the complexity and expense of massive multiple-input multiple-output systems while achieving high data rates on track with digital beamforming. To this end, the purpose of the research reported in this paper is to assess the effectiveness of the three architectural beamforming techniques (Analog, Digital, and Hybrid beamforming) in massive multiple-input multiple-output systems, especially hybrid beamforming. In hybrid beamforming, the antennas are connected to a single radio frequency chain, unlike digital beamforming, where each antenna has a separate radio frequency chain. The beam formation toward a particular angle depends on the channel state information. Further, massive multiple-input multiple-output is discussed in detail along with the performance parameters like bit error rate, signal-to-noise ratio, achievable sum rate, power consumption in massive multiple-input multiple-output, and energy efficiency. Finally, a comparison has been established between the three beamforming techniques. |
format | Online Article Text |
id | pubmed-10458417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104584172023-08-27 Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology Hamid, Shahid Chopra, Shakti Raj Gupta, Akhil Tanwar, Sudeep Florea, Bogdan Cristian Taralunga, Dragos Daniel Alfarraj, Osama Shehata, Ahmed M. Sensors (Basel) Article Hybrid beamforming is a viable method for lowering the complexity and expense of massive multiple-input multiple-output systems while achieving high data rates on track with digital beamforming. To this end, the purpose of the research reported in this paper is to assess the effectiveness of the three architectural beamforming techniques (Analog, Digital, and Hybrid beamforming) in massive multiple-input multiple-output systems, especially hybrid beamforming. In hybrid beamforming, the antennas are connected to a single radio frequency chain, unlike digital beamforming, where each antenna has a separate radio frequency chain. The beam formation toward a particular angle depends on the channel state information. Further, massive multiple-input multiple-output is discussed in detail along with the performance parameters like bit error rate, signal-to-noise ratio, achievable sum rate, power consumption in massive multiple-input multiple-output, and energy efficiency. Finally, a comparison has been established between the three beamforming techniques. MDPI 2023-08-21 /pmc/articles/PMC10458417/ /pubmed/37631830 http://dx.doi.org/10.3390/s23167294 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hamid, Shahid Chopra, Shakti Raj Gupta, Akhil Tanwar, Sudeep Florea, Bogdan Cristian Taralunga, Dragos Daniel Alfarraj, Osama Shehata, Ahmed M. Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology |
title | Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology |
title_full | Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology |
title_fullStr | Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology |
title_full_unstemmed | Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology |
title_short | Hybrid Beamforming in Massive MIMO for Next-Generation Communication Technology |
title_sort | hybrid beamforming in massive mimo for next-generation communication technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458417/ https://www.ncbi.nlm.nih.gov/pubmed/37631830 http://dx.doi.org/10.3390/s23167294 |
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