Minimax robust power split in AF relays based on uncertain long-term CSI

Handle URI:
http://hdl.handle.net/10754/564425
Title:
Minimax robust power split in AF relays based on uncertain long-term CSI
Authors:
Nisar, Muhammad Danish; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
An optimal power control among source and relay nodes in presence of channel state information (CSI) is vital for an efficient amplify and forward (AF) based cooperative communication system. In this work, we study the optimal power split (power control) between the source and relay node in presence of an uncertainty in the CSI. The prime contribution is to solve the problem based on an uncertain long-term knowledge of both the first and second hop CSI (requiring less frequent updates), and under an aggregate network-level power constraint. We employ the minimax optimization methodology to arrive at the minimax robust optimal power split, that offers the best possible guarantee on the end-to-end signal to noise ratio (SNR). The derived closed form analytical expressions admit simple intuitive interpretations and are easy to implement in real-world AF relaying systems. Numerical results confirm the advantages of incorporating the presence of uncertainty into the optimization problem, and demonstrate the usefulness of the proposed minimax robust optimal power split. © 2011 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2011 IEEE Vehicular Technology Conference (VTC Fall)
Conference/Event name:
IEEE 74th Vehicular Technology Conference, VTC Fall 2011
Issue Date:
Sep-2011
DOI:
10.1109/VETECF.2011.6093221
Type:
Conference Paper
ISSN:
15502252
ISBN:
9781424483273
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorNisar, Muhammad Danishen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T06:27:15Zen
dc.date.available2015-08-04T06:27:15Zen
dc.date.issued2011-09en
dc.identifier.isbn9781424483273en
dc.identifier.issn15502252en
dc.identifier.doi10.1109/VETECF.2011.6093221en
dc.identifier.urihttp://hdl.handle.net/10754/564425en
dc.description.abstractAn optimal power control among source and relay nodes in presence of channel state information (CSI) is vital for an efficient amplify and forward (AF) based cooperative communication system. In this work, we study the optimal power split (power control) between the source and relay node in presence of an uncertainty in the CSI. The prime contribution is to solve the problem based on an uncertain long-term knowledge of both the first and second hop CSI (requiring less frequent updates), and under an aggregate network-level power constraint. We employ the minimax optimization methodology to arrive at the minimax robust optimal power split, that offers the best possible guarantee on the end-to-end signal to noise ratio (SNR). The derived closed form analytical expressions admit simple intuitive interpretations and are easy to implement in real-world AF relaying systems. Numerical results confirm the advantages of incorporating the presence of uncertainty into the optimization problem, and demonstrate the usefulness of the proposed minimax robust optimal power split. © 2011 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleMinimax robust power split in AF relays based on uncertain long-term CSIen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2011 IEEE Vehicular Technology Conference (VTC Fall)en
dc.conference.date5 September 2011 through 8 September 2011en
dc.conference.nameIEEE 74th Vehicular Technology Conference, VTC Fall 2011en
dc.conference.locationSan Francisco, CAen
dc.contributor.institutionTechnische Universität München (TUM), Munich, Germanyen
kaust.authorAlouini, Mohamed-Slimen
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