Proportionally Fair Robust Beamforming for Multicast Multibeam Satellite Systems

Xiao, Y; Mishra, D; Yuan, J; Luo, Y

Proportionally Fair Robust Beamforming for Multicast Multibeam Satellite Systems

Xiao, Y Mishra, D Yuan, J Luo, Y

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Communications Letters, 2022, 26, (1), pp. 128-132
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Xiao, Y
dc.contributor.author	Mishra, D
dc.contributor.author	Yuan, J
dc.contributor.author	Luo, Y https://orcid.org/0000-0002-1994-2650
dc.date.accessioned	2023-04-06T05:15:27Z
dc.date.available	2023-04-06T05:15:27Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Communications Letters, 2022, 26, (1), pp. 128-132
dc.identifier.issn	1089-7798
dc.identifier.issn	1558-2558
dc.identifier.uri	http://hdl.handle.net/10453/169346
dc.description.abstract	We study the proportionally fair beamforming design for the downlink channel of multibeam satellite systems. Due to the channel phase uncertainty caused by oscillators and the long round trip delay, the beamforming design needs to be robust to the imperfect channel state information (CSI). We formulate an optimization problem with outage probability and per-antenna power constraints to maximize the weighted sum utility of the signal-to-interference-plus-noise (SINR) threshold to realize proportional fairness. The optimization problem is non-convex and we transformed it into the convex form through accurate approximation. We solve the optimization problem via a proposed sub-optimal algorithm. The simulation result shows that the proposed algorithm can converge within 30 iterations when the number of beams is 9. Furthermore, the proposed beamforming scheme obtains a 10% average performance gain in weighted sum utility over the robust max-min schemes in different levels of phase uncertainty.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Communications Letters
dc.relation.isbasedon	10.1109/LCOMM.2021.3118567
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	Proportionally Fair Robust Beamforming for Multicast Multibeam Satellite Systems
dc.type	Journal Article
utslib.citation.volume	26
utslib.for	0805 Distributed Computing
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-06T05:15:26Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	26
utslib.citation.issue	1

Abstract:

We study the proportionally fair beamforming design for the downlink channel of multibeam satellite systems. Due to the channel phase uncertainty caused by oscillators and the long round trip delay, the beamforming design needs to be robust to the imperfect channel state information (CSI). We formulate an optimization problem with outage probability and per-antenna power constraints to maximize the weighted sum utility of the signal-to-interference-plus-noise (SINR) threshold to realize proportional fairness. The optimization problem is non-convex and we transformed it into the convex form through accurate approximation. We solve the optimization problem via a proposed sub-optimal algorithm. The simulation result shows that the proposed algorithm can converge within 30 iterations when the number of beams is 9. Furthermore, the proposed beamforming scheme obtains a 10% average performance gain in weighted sum utility over the robust max-min schemes in different levels of phase uncertainty.

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http://hdl.handle.net/10453/169346