Zafar, Ammar, Radaydeh, Redha M., Chen, Yunfei and Alouini, Mohamed-Slim (2014) Power allocation strategies for fixed-gain half-duplex amplify-and-forward relaying in Nakagami-m fading. IEEE Transactions on Wireless Communications, Volume 13 (Number 1). pp. 159-173. doi:10.1109/TWC.2013.120113.121944 ISSN 1536-1276.

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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) maximizing the end-to-end signal-to-noise ratio (SNR) and 2) minimizing the total power consumption while maintaining the end-to-end SNR over a threshold value. We investigate these two problems for two relaying protocols of all-participate (AP) relaying and selective relaying and two cases of feedback to the relays, namely full and limited. We show that the SNR maximization problem is concave and that the power minimization problem is convex for all protocols and feedback cases considered. We obtain closed-form expressions for the two problems in the case of full feedback and solve the problems through convex programming for limited feedback. Numerical results show the benefit of having full feedback at the relays for both optimization problems. However, they also show that feedback overhead can be reduced by having only limited feedback to the relays with only a small degradation in performance.

Item Type:	Journal Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH):	Energy consumption
Journal or Publication Title:	IEEE Transactions on Wireless Communications
Publisher:	IEEE
ISSN:	1536-1276
Official Date:	24 January 2014
Dates:	Date Event 24 January 2014 Published
Volume:	Volume 13
Number:	Number 1
Number of Pages:	15
Page Range:	pp. 159-173
DOI:	10.1109/TWC.2013.120113.121944
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	10 February 2016
Date of first compliant Open Access:	10 February 2016
Funder:	King Abdullah University of Science and Technology (KAUST)

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