Joint Energy Beamforming and Optimization for Intelligent Reflecting Surface Enhanced Communications

Zou, Y; Gong, S; Xu, J; Cheng, W; Hoang, DT; Niyato, D

Joint Energy Beamforming and Optimization for Intelligent Reflecting Surface Enhanced Communications

Zou, Y Gong, S Xu, J Cheng, W Hoang, DT Niyato, D

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2020, 00, pp. 1-6
Issue Date:: 2020-06-25

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Field	Value	Language
dc.contributor.author	Zou, Y
dc.contributor.author	Gong, S
dc.contributor.author	Xu, J
dc.contributor.author	Cheng, W
dc.contributor.author	Hoang, DT
dc.contributor.author	Niyato, D
dc.date	2020-04-06
dc.date.accessioned	2021-04-12T21:12:20Z
dc.date.available	2021-04-12T21:12:20Z
dc.date.issued	2020-06-25
dc.identifier.citation	2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2020, 00, pp. 1-6
dc.identifier.isbn	978-1-7281-5179-3
dc.identifier.uri	http://hdl.handle.net/10453/148045
dc.description.abstract	To face the scarcity of wireless spectrum resources and explosive energy consumption due to rapid growth of mobile devices and Internet of Things terminals, intelligent reflecting surface (IRS) has recently gained a lot of attention and become as one of the promising solutions. In this paper, we consider an IRS-enhanced multiple-input single- output (MISO) system, in which the IRS is wireless powered by the access point (AP) in power splitting scheme. We aim to maximize the signal-to-noise ratio (SNR) of the end user by jointly optimizing the AP's beamforming as well as the phase-shift and the power splitting ratio of the IRS elements. To tackle the non-convexity of the formulated problem due to the coupling of optimization variables, we devise a two-stage approximation algorithm by analyzing and then decomposing the structure of the problem. Specifically, the algorithm first tunes the phase-shift of IRS elements to align the equivalent channel of IRS reflected path to that of the direct link. After that, we adopt a successive convex approximation based method to achieve a near optimal solution for the reformulated problem iteratively. The simulation results show that our proposed two-stage approximation algorithm can solve the jointly SNR maximization problem efficiently.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
dc.relation.ispartof	2020 IEEE Wireless Communications and Networking Conference Workshops
dc.relation.isbasedon	10.1109/wcncw48565.2020.9124846
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Joint Energy Beamforming and Optimization for Intelligent Reflecting Surface Enhanced Communications
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Seoul, Korea (South)
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
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/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2021-04-12T21:12:19Z
pubs.finish-date	2020-04-09
pubs.publication-status	Published
pubs.start-date	2020-04-06
pubs.volume	00

Abstract:

To face the scarcity of wireless spectrum resources and explosive energy consumption due to rapid growth of mobile devices and Internet of Things terminals, intelligent reflecting surface (IRS) has recently gained a lot of attention and become as one of the promising solutions. In this paper, we consider an IRS-enhanced multiple-input single- output (MISO) system, in which the IRS is wireless powered by the access point (AP) in power splitting scheme. We aim to maximize the signal-to-noise ratio (SNR) of the end user by jointly optimizing the AP's beamforming as well as the phase-shift and the power splitting ratio of the IRS elements. To tackle the non-convexity of the formulated problem due to the coupling of optimization variables, we devise a two-stage approximation algorithm by analyzing and then decomposing the structure of the problem. Specifically, the algorithm first tunes the phase-shift of IRS elements to align the equivalent channel of IRS reflected path to that of the direct link. After that, we adopt a successive convex approximation based method to achieve a near optimal solution for the reformulated problem iteratively. The simulation results show that our proposed two-stage approximation algorithm can solve the jointly SNR maximization problem efficiently.

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http://hdl.handle.net/10453/148045