Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System

Ziad Qais Al Abbasi; Mustafa Ahmed Khamis; Khaled M. Rabie

doi:10.1109/MeditCom49071.2021.9647520

Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System

Ziad Qais Al Abbasi, Mustafa Ahmed Khamis, Khaled M. Rabie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

This paper studies the application of intelligent reflective surface as an assisting technique in massive multiple-input, multiple-output (IRS-mMIMO) systems. This combination is expected to increase the received signal quality and assist the cell-edge users achieve higher spectral efficiency (SE), and hence throughput. The proposed IRS-mMIMO combination is applied under a multi-cell set up to closely emulate the practical atmosphere and for achieving a detailed examination of the combined systems. Three different combining schemes are considered along with proposing root dependent power assignment technique among all the users within all the serving BSs. The results show that IRS can significantly improve the achievable SE of mMIMO systems.

Original language	English
Title of host publication	2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	138-143
Number of pages	6
ISBN (Electronic)	9781665445054
DOIs	https://doi.org/10.1109/MeditCom49071.2021.9647520
State	Published - 2021
Externally published	Yes

Publication series

Name	2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

Intelligent reflective surface (IRS)
Large scale fading
Massive multiple-input
Multi-cell networks
Multiple-output (mMIMO) system
Power assignment

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1109/MeditCom49071.2021.9647520

Cite this

Al Abbasi, Z. Q., Ahmed Khamis, M., & Rabie, K. M. (2021). Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System. In 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021 (pp. 138-143). (2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MeditCom49071.2021.9647520

Al Abbasi, Ziad Qais ; Ahmed Khamis, Mustafa ; Rabie, Khaled M. / Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System. 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 138-143 (2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021).

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title = "Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System",

abstract = "This paper studies the application of intelligent reflective surface as an assisting technique in massive multiple-input, multiple-output (IRS-mMIMO) systems. This combination is expected to increase the received signal quality and assist the cell-edge users achieve higher spectral efficiency (SE), and hence throughput. The proposed IRS-mMIMO combination is applied under a multi-cell set up to closely emulate the practical atmosphere and for achieving a detailed examination of the combined systems. Three different combining schemes are considered along with proposing root dependent power assignment technique among all the users within all the serving BSs. The results show that IRS can significantly improve the achievable SE of mMIMO systems.",

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year = "2021",

doi = "10.1109/MeditCom49071.2021.9647520",

language = "English",

series = "2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021",

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Al Abbasi, ZQ, Ahmed Khamis, M & Rabie, KM 2021, Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System. in 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021. 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021, Institute of Electrical and Electronics Engineers Inc., pp. 138-143. https://doi.org/10.1109/MeditCom49071.2021.9647520

Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System. / Al Abbasi, Ziad Qais; Ahmed Khamis, Mustafa; Rabie, Khaled M.
2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 138-143 (2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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KW - Large scale fading

KW - Massive multiple-input

KW - Multi-cell networks

KW - Multiple-output (mMIMO) system

KW - Power assignment

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Al Abbasi ZQ, Ahmed Khamis M, Rabie KM. Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System. In 2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 138-143. (2021 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2021). doi: 10.1109/MeditCom49071.2021.9647520

Performance Evaluation of Downlink IRS-Assisted Multi-Cell Massive MIMO System

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this