Power Allocation Strategies for Fixed-Gain Half-Duplex Amplify-and-Forward Relaying in Nakagami-m Fading

Handle URI:
http://hdl.handle.net/10754/300621
Title:
Power Allocation Strategies for Fixed-Gain Half-Duplex Amplify-and-Forward Relaying in Nakagami-m Fading
Authors:
Zafar, Ammar ( 0000-0001-8382-7625 ) ; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Chen, Yunfei; Radaydeh, Redha M.
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 signalto- 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, full and limited. We show that the SNR maximization problem is concave and 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Issue Date:
1-Sep-2013
ARXIV:
arXiv:1211.5931
Type:
Technical Report
Description:
Extended version of the article submitted to IEEE TWireless
Additional Links:
http://arxiv.org/abs/1211.5931
Appears in Collections:
Technical Reports; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorZafar, Ammaren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorChen, Yunfeien
dc.contributor.authorRadaydeh, Redha M.en
dc.date.accessioned2013-09-01T05:55:39Z-
dc.date.available2013-09-01T05:55:39Z-
dc.date.issued2013-09-01en
dc.identifier.urihttp://hdl.handle.net/10754/300621en
dc.descriptionExtended version of the article submitted to IEEE TWirelessen
dc.description.abstractIn 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 signalto- 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, full and limited. We show that the SNR maximization problem is concave and 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.en
dc.language.isoenen
dc.relation.urlhttp://arxiv.org/abs/1211.5931en
dc.subjectAmplify-and-forwarden
dc.subjectenergy-efficiencyen
dc.subjectfixed-gainen
dc.subjectfull feedbacken
dc.subjecthalf-duplexen
dc.subjectlimited feedbacken
dc.subjectNakagami-m fadingen
dc.subjectoptimal power allocationen
dc.titlePower Allocation Strategies for Fixed-Gain Half-Duplex Amplify-and-Forward Relaying in Nakagami-m Fadingen
dc.typeTechnical Reporten
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.eprint.versionPre-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
dc.identifier.arxividarXiv:1211.5931en
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