High Energy Efficiency Transmission in MIMO Satellite Communications

Ma, Y; Lv, T; Zhang, X; Gao, H; Yu, S

High Energy Efficiency Transmission in MIMO Satellite Communications

Ma, Y Lv, T Zhang, X Gao, H Yu, S

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Communications, 2018, 2018-May
Issue Date:: 2018-07-27

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Field	Value	Language
dc.contributor.author	Ma, Y	en_US
dc.contributor.author	Lv, T	en_US
dc.contributor.author	Zhang, X	en_US
dc.contributor.author	Gao, H	en_US
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743	en_US
dc.date.issued	2018-07-27	en_US
dc.identifier.citation	IEEE International Conference on Communications, 2018, 2018-May	en_US
dc.identifier.isbn	9781538631805	en_US
dc.identifier.issn	1550-3607	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133531
dc.description.abstract	© 2018 IEEE. In this paper, we propose a high energy efficiency transmission scheme in multi-beam MIMO satellite systems. Satellite is regarded as a two-way decode-and- forward (DF) relay, where multiple pairs of users exchange information within pair. Zero-forcing transceivers are employed at the satellite. The challenge is that of deriving an accurate yet tractable expression of the system-level energy efficiency (EE) to be used as our objective function. To tackle this challenge, firstly, a closed-form expression of the EE is derived under the assumption of perfect satellite channel. Secondly, based on this analytical expression, we formulate a resource allocation optimization problem for the EE maximization by jointly optimizing satellite power and users power, subject to limited transmit power and minimum quality-of-service (QoS) constraints. Finally, the successive convex approximation technique is invoked to transform the original optimization problem into a concave fractional programming problem, which is then efficiently solved by the existed methods. Simulation results demonstrate the effectiveness of the proposed algorithms.	en_US
dc.relation.ispartof	IEEE International Conference on Communications	en_US
dc.relation.isbasedon	10.1109/ICC.2018.8422808	en_US
dc.title	High Energy Efficiency Transmission in MIMO Satellite Communications	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-May	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2018-May	en_US

Abstract:

© 2018 IEEE. In this paper, we propose a high energy efficiency transmission scheme in multi-beam MIMO satellite systems. Satellite is regarded as a two-way decode-and- forward (DF) relay, where multiple pairs of users exchange information within pair. Zero-forcing transceivers are employed at the satellite. The challenge is that of deriving an accurate yet tractable expression of the system-level energy efficiency (EE) to be used as our objective function. To tackle this challenge, firstly, a closed-form expression of the EE is derived under the assumption of perfect satellite channel. Secondly, based on this analytical expression, we formulate a resource allocation optimization problem for the EE maximization by jointly optimizing satellite power and users power, subject to limited transmit power and minimum quality-of-service (QoS) constraints. Finally, the successive convex approximation technique is invoked to transform the original optimization problem into a concave fractional programming problem, which is then efficiently solved by the existed methods. Simulation results demonstrate the effectiveness of the proposed algorithms.

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