Intelligent Reflecting Surface Aided Multi-User mmWave Communications for Coverage Enhancement

Cao, Y; Lv, T; Ni, W

Intelligent Reflecting Surface Aided Multi-User mmWave Communications for Coverage Enhancement

Cao, Y Lv, T Ni, W

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, 2020, 2020-August, pp. 1-6
Issue Date:: 2020-10-08

Closed Access

	Filename	Description	Size
	09217160.pdf		282.83 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Cao, Y
dc.contributor.author	Lv, T
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.date	2020-08-31
dc.date.accessioned	2021-06-10T01:56:22Z
dc.date.available	2021-06-10T01:56:22Z
dc.date.issued	2020-10-08
dc.identifier.citation	2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, 2020, 2020-August, pp. 1-6
dc.identifier.isbn	978-1-7281-4490-0
dc.identifier.issn	2166-9570
dc.identifier.issn	2166-9589
dc.identifier.uri	http://hdl.handle.net/10453/149480
dc.description.abstract	Intelligent reflecting surface (IRS) is envisioned as a promising solution for controlling radio propagation environments in future wireless systems. In this paper, we propose a distributed intelligent reflecting surface (IRS) assisted multi-user millimeter wave (mmWave) system, where IRSs are exploited to enhance the mmWave signal coverage when direct links between base station and users are unavailable. First, a joint active and passive beamforming problem is established for weighted sum-rate maximization. Then, an alternating iterative algorithm with closed-form expressions is proposed to tackle the challenging non-convex problem, thereby decoupling the active and passive beamforming variables. Moreover, we design a constraint relaxation technique to address the unit modulus constraints pertaining to the IRS. Numerical results demonstrate that the distributed IRS can potentially enhance the communication performance of existing wireless systems.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
dc.relation.ispartof	IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
dc.relation.isbasedon	10.1109/pimrc48278.2020.9217160
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Intelligent Reflecting Surface Aided Multi-User mmWave Communications for Coverage Enhancement
dc.type	Conference Proceeding
utslib.citation.volume	2020-August
utslib.location.activity	London, UK
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-06-10T01:56:21Z
pubs.finish-date	2020-09-03
pubs.publication-status	Published
pubs.start-date	2020-08-31
pubs.volume	2020-August

Abstract:

Intelligent reflecting surface (IRS) is envisioned as a promising solution for controlling radio propagation environments in future wireless systems. In this paper, we propose a distributed intelligent reflecting surface (IRS) assisted multi-user millimeter wave (mmWave) system, where IRSs are exploited to enhance the mmWave signal coverage when direct links between base station and users are unavailable. First, a joint active and passive beamforming problem is established for weighted sum-rate maximization. Then, an alternating iterative algorithm with closed-form expressions is proposed to tackle the challenging non-convex problem, thereby decoupling the active and passive beamforming variables. Moreover, we design a constraint relaxation technique to address the unit modulus constraints pertaining to the IRS. Numerical results demonstrate that the distributed IRS can potentially enhance the communication performance of existing wireless systems.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/149480