SINR loss and user selection in massive MU‐MISO systems with ZFBF

Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple‐input multiple‐output (MU‐MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal‐to‐interference‐plus‐noise ratio (SINR...

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Main Authors: Mengshi Hu, Yongyu Chang, Tianyi Zeng, Bin Wang
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2019-04-01
Series:ETRI Journal
Subjects:
Online Access:https://doi.org/10.4218/etrij.2018-0376
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spelling doaj-af51a9af88b7406890b134660af5b26f2020-11-25T02:51:19ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632019-04-0141563764710.4218/etrij.2018-037610.4218/etrij.2018-0376SINR loss and user selection in massive MU‐MISO systems with ZFBFMengshi HuYongyu ChangTianyi ZengBin WangSeparating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple‐input multiple‐output (MU‐MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal‐to‐interference‐plus‐noise ratio (SINR) loss to characterize it in multiuser multiple‐input single‐output (MU‐MISO) systems, and use coefficient of correlation (CoC) to describe the SC between users. A formula is deduced to show the accurate relation between SINR loss and CoC. Based on this relation, we propose a user selection method that utilizes CoC to minimize the average SINR loss of users in massive MU‐MISO systems. Simulation results verify the correctness of the relation and show that the proposed user selection method is very effective at reducing the loss caused by SC in massive MU‐MISO systems.https://doi.org/10.4218/etrij.2018-0376coefficient of correlationmultiuser multiple‐input single‐outputsignal‐to‐interference‐plus‐noise ratio lossspatial correlationuser selection
collection DOAJ
language English
format Article
sources DOAJ
author Mengshi Hu
Yongyu Chang
Tianyi Zeng
Bin Wang
spellingShingle Mengshi Hu
Yongyu Chang
Tianyi Zeng
Bin Wang
SINR loss and user selection in massive MU‐MISO systems with ZFBF
ETRI Journal
coefficient of correlation
multiuser multiple‐input single‐output
signal‐to‐interference‐plus‐noise ratio loss
spatial correlation
user selection
author_facet Mengshi Hu
Yongyu Chang
Tianyi Zeng
Bin Wang
author_sort Mengshi Hu
title SINR loss and user selection in massive MU‐MISO systems with ZFBF
title_short SINR loss and user selection in massive MU‐MISO systems with ZFBF
title_full SINR loss and user selection in massive MU‐MISO systems with ZFBF
title_fullStr SINR loss and user selection in massive MU‐MISO systems with ZFBF
title_full_unstemmed SINR loss and user selection in massive MU‐MISO systems with ZFBF
title_sort sinr loss and user selection in massive mu‐miso systems with zfbf
publisher Electronics and Telecommunications Research Institute (ETRI)
series ETRI Journal
issn 1225-6463
publishDate 2019-04-01
description Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple‐input multiple‐output (MU‐MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal‐to‐interference‐plus‐noise ratio (SINR) loss to characterize it in multiuser multiple‐input single‐output (MU‐MISO) systems, and use coefficient of correlation (CoC) to describe the SC between users. A formula is deduced to show the accurate relation between SINR loss and CoC. Based on this relation, we propose a user selection method that utilizes CoC to minimize the average SINR loss of users in massive MU‐MISO systems. Simulation results verify the correctness of the relation and show that the proposed user selection method is very effective at reducing the loss caused by SC in massive MU‐MISO systems.
topic coefficient of correlation
multiuser multiple‐input single‐output
signal‐to‐interference‐plus‐noise ratio loss
spatial correlation
user selection
url https://doi.org/10.4218/etrij.2018-0376
work_keys_str_mv AT mengshihu sinrlossanduserselectioninmassivemumisosystemswithzfbf
AT yongyuchang sinrlossanduserselectioninmassivemumisosystemswithzfbf
AT tianyizeng sinrlossanduserselectioninmassivemumisosystemswithzfbf
AT binwang sinrlossanduserselectioninmassivemumisosystemswithzfbf
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