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Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast
In this paper, we use satellite-assisted and multi-group multicast mechanisms to relieve ground traffic pressure and improve data transmission efficiency of cell-free massive MIMO systems. We propose to estimate channel state information (CSI) by common pilot scheme. Given the estimated CSI, we deri...
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/PMC8472470/ https://www.ncbi.nlm.nih.gov/pubmed/34577428 http://dx.doi.org/10.3390/s21186222 |
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author | Li, Jiamin Chen, Lingling Zhu, Pengcheng Wang, Dongming You, Xiaohu |
author_facet | Li, Jiamin Chen, Lingling Zhu, Pengcheng Wang, Dongming You, Xiaohu |
author_sort | Li, Jiamin |
collection | PubMed |
description | In this paper, we use satellite-assisted and multi-group multicast mechanisms to relieve ground traffic pressure and improve data transmission efficiency of cell-free massive MIMO systems. We propose to estimate channel state information (CSI) by common pilot scheme. Given the estimated CSI, we derive the closed-form expressions of achievable rate with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding. The correctness of the closed-form expressions is verified through simulations. The results show that with the help of satellite and multicast, the average system spectrum efficiency (SE) can be significantly improved. |
format | Online Article Text |
id | pubmed-8472470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84724702021-09-28 Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast Li, Jiamin Chen, Lingling Zhu, Pengcheng Wang, Dongming You, Xiaohu Sensors (Basel) Article In this paper, we use satellite-assisted and multi-group multicast mechanisms to relieve ground traffic pressure and improve data transmission efficiency of cell-free massive MIMO systems. We propose to estimate channel state information (CSI) by common pilot scheme. Given the estimated CSI, we derive the closed-form expressions of achievable rate with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding. The correctness of the closed-form expressions is verified through simulations. The results show that with the help of satellite and multicast, the average system spectrum efficiency (SE) can be significantly improved. MDPI 2021-09-16 /pmc/articles/PMC8472470/ /pubmed/34577428 http://dx.doi.org/10.3390/s21186222 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 Li, Jiamin Chen, Lingling Zhu, Pengcheng Wang, Dongming You, Xiaohu Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast |
title | Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast |
title_full | Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast |
title_fullStr | Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast |
title_full_unstemmed | Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast |
title_short | Satellite-Assisted Cell-Free Massive MIMO Systems with Multi-Group Multicast |
title_sort | satellite-assisted cell-free massive mimo systems with multi-group multicast |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472470/ https://www.ncbi.nlm.nih.gov/pubmed/34577428 http://dx.doi.org/10.3390/s21186222 |
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