Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading

Zafar, A; Radaydeh, RM; Chen, Y; Alouini, MS

Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading

Zafar, A

Radaydeh, RM Chen, Y Alouini, MS

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Publication Type:: Conference Proceeding
Citation:: 2013 IEEE International Conference on Communications Workshops, ICC 2013, 2013, pp. 402 - 406
Issue Date:: 2013-12-27

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Field	Value	Language
dc.contributor.author	Zafar, A https://orcid.org/0000-0001-8382-7625	en_US
dc.contributor.author	Radaydeh, RM	en_US
dc.contributor.author	Chen, Y	en_US
dc.contributor.author	Alouini, MS	en_US
dc.date.issued	2013-12-27	en_US
dc.identifier.citation	2013 IEEE International Conference on Communications Workshops, ICC 2013, 2013, pp. 402 - 406	en_US
dc.identifier.isbn	9781467357531	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120259
dc.description.abstract	In this paper, we study power allocation strategies for a fixed-gain amplify-and-forward relay network employing multiple relays. We consider two optimization problems for the relay network: 1) optimal power allocation to maximize the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total consumed power while maintaining the end-to-end SNR over a threshold value. We assume that the relays have knowledge of only the channel statistics of all the links. We show that the SNR maximization problem is concave and the power minimization problem is convex. Hence, we solve the problems through convex programming. Numerical results show the benefit of allocating power optimally rather than uniformly. © 2013 IEEE.	en_US
dc.relation.ispartof	2013 IEEE International Conference on Communications Workshops, ICC 2013	en_US
dc.relation.isbasedon	10.1109/ICCW.2013.6649267	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Efficient power allocation for fixed-gain amplify-and-forward relaying in rayleigh fading	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

In this paper, we study power allocation strategies for a fixed-gain amplify-and-forward relay network employing multiple relays. We consider two optimization problems for the relay network: 1) optimal power allocation to maximize the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total consumed power while maintaining the end-to-end SNR over a threshold value. We assume that the relays have knowledge of only the channel statistics of all the links. We show that the SNR maximization problem is concave and the power minimization problem is convex. Hence, we solve the problems through convex programming. Numerical results show the benefit of allocating power optimally rather than uniformly. © 2013 IEEE.

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http://hdl.handle.net/10453/120259