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Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems

Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and...

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Autores principales: Junior, Milembolo Miantezila, Guo, Bin, Zhang, Chenjie, Bai, Xuemei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196734/
https://www.ncbi.nlm.nih.gov/pubmed/34064106
http://dx.doi.org/10.3390/s21113584
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author Junior, Milembolo Miantezila
Guo, Bin
Zhang, Chenjie
Bai, Xuemei
author_facet Junior, Milembolo Miantezila
Guo, Bin
Zhang, Chenjie
Bai, Xuemei
author_sort Junior, Milembolo Miantezila
collection PubMed
description Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and 6G Technology, can assist in mitigating this challenge moderately. In this paper, we suggest a projection study in spectrum sharing of radar multi-input and multi-output, and mobile LTE multi-input multi-output communication systems near m base stations (BS). The radar multi-input multi-output and mobile LTE communication systems split different interference channels. The new approach based on radar projection signal detection has been proposed for free interference disturbance channel with radar multi-input multi-output and mobile LTE multi-input multi-output by using a new proposed interference cancellation algorithm. We chose the channel of interference with the best free channel, and the detected signal of radar was projected to null space. The goal is to remove all interferences from the radar multi-input multi-output and to cancel any disturbance sources from a chosen mobile Communication Base Station. The experimental results showed that the new approach performs very well and can optimize Spectrum Access.
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spelling pubmed-81967342021-06-13 Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems Junior, Milembolo Miantezila Guo, Bin Zhang, Chenjie Bai, Xuemei Sensors (Basel) Article Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and 6G Technology, can assist in mitigating this challenge moderately. In this paper, we suggest a projection study in spectrum sharing of radar multi-input and multi-output, and mobile LTE multi-input multi-output communication systems near m base stations (BS). The radar multi-input multi-output and mobile LTE communication systems split different interference channels. The new approach based on radar projection signal detection has been proposed for free interference disturbance channel with radar multi-input multi-output and mobile LTE multi-input multi-output by using a new proposed interference cancellation algorithm. We chose the channel of interference with the best free channel, and the detected signal of radar was projected to null space. The goal is to remove all interferences from the radar multi-input multi-output and to cancel any disturbance sources from a chosen mobile Communication Base Station. The experimental results showed that the new approach performs very well and can optimize Spectrum Access. MDPI 2021-05-21 /pmc/articles/PMC8196734/ /pubmed/34064106 http://dx.doi.org/10.3390/s21113584 Text en © 2021 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
Junior, Milembolo Miantezila
Guo, Bin
Zhang, Chenjie
Bai, Xuemei
Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems
title Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems
title_full Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems
title_fullStr Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems
title_full_unstemmed Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems
title_short Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems
title_sort interference cancellation based spectrum sharing for massive mimo communication systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196734/
https://www.ncbi.nlm.nih.gov/pubmed/34064106
http://dx.doi.org/10.3390/s21113584
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