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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8196734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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