Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO Systems

It is well known that large scale multiple-input multiple-output (LS-MIMO) systems are very attractive technology to increase both spectral efficiency (SE) and energy efficiency (EE). However, one of big obstacles to the realization of the LS-MIMO system is the overhead of reference signals (RSs), s...

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Main Authors: Byung Moo Lee, Youngok Kim
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/7/1/96
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spelling doaj-42ef348b31254303ad6a95caa1b819752020-11-25T00:49:06ZengMDPI AGApplied Sciences2076-34172017-01-01719610.3390/app7010096app7010096Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO SystemsByung Moo Lee0Youngok Kim1School of Intelligent Mechatronic Engineering, Sejong University, Seoul 05006, KoreaDepartmemt of Electronic Engineering, Kwangwoon University, Seoul 01897, KoreaIt is well known that large scale multiple-input multiple-output (LS-MIMO) systems are very attractive technology to increase both spectral efficiency (SE) and energy efficiency (EE). However, one of big obstacles to the realization of the LS-MIMO system is the overhead of reference signals (RSs), since the number of RS increases as the number of transmitter (TX) antennas increases. In this paper, the RS overhead problem is analyzed, and we propose an RS overhead reduction scheme based on beam grouping, which is called beam grouping based resource reuse (BGRR). The proposed scheme divides one cell into several sectors and reuses the RS resources for the different sectors. The resource conflict is reduced using beam separability. According to the analysis and the simulation results, the proposed scheme can remarkably reduce the RS overhead and improve the SE performance significantly.http://www.mdpi.com/2076-3417/7/1/96reference signallarge scale MIMO systemresource reuse
collection DOAJ
language English
format Article
sources DOAJ
author Byung Moo Lee
Youngok Kim
spellingShingle Byung Moo Lee
Youngok Kim
Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO Systems
Applied Sciences
reference signal
large scale MIMO system
resource reuse
author_facet Byung Moo Lee
Youngok Kim
author_sort Byung Moo Lee
title Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO Systems
title_short Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO Systems
title_full Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO Systems
title_fullStr Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO Systems
title_full_unstemmed Beam Grouping Based RS Resource Reuse and De-Contamination in Large Scale MIMO Systems
title_sort beam grouping based rs resource reuse and de-contamination in large scale mimo systems
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2017-01-01
description It is well known that large scale multiple-input multiple-output (LS-MIMO) systems are very attractive technology to increase both spectral efficiency (SE) and energy efficiency (EE). However, one of big obstacles to the realization of the LS-MIMO system is the overhead of reference signals (RSs), since the number of RS increases as the number of transmitter (TX) antennas increases. In this paper, the RS overhead problem is analyzed, and we propose an RS overhead reduction scheme based on beam grouping, which is called beam grouping based resource reuse (BGRR). The proposed scheme divides one cell into several sectors and reuses the RS resources for the different sectors. The resource conflict is reduced using beam separability. According to the analysis and the simulation results, the proposed scheme can remarkably reduce the RS overhead and improve the SE performance significantly.
topic reference signal
large scale MIMO system
resource reuse
url http://www.mdpi.com/2076-3417/7/1/96
work_keys_str_mv AT byungmoolee beamgroupingbasedrsresourcereuseanddecontaminationinlargescalemimosystems
AT youngokkim beamgroupingbasedrsresourcereuseanddecontaminationinlargescalemimosystems
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