Robust Power Allocation for Multi-Carrier Amplify-and-Forward Relaying Systems

Handle URI:
http://hdl.handle.net/10754/242052
Title:
Robust Power Allocation for Multi-Carrier Amplify-and-Forward Relaying Systems
Authors:
Rao, Anlei; Nisar, M. Danish; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
It has been shown that adaptive power allocation can provide a substantial performance gain in wireless communication systems when perfect channel state information (CSI) is available at the transmitter. However when only imperfect CSI is available, the performance may degrade significantly, and as such robust power allocation schemes have been developed to minimize the effects of this degradation. In this paper, we investigate power allocation strategies for multicarrier systems, in which each subcarrier employs single amplify-and-forward (AF) relaying scheme. Optimal power allocation schemes are proposed by maximizing the approximated channel capacity under aggregate power constraint (APC) and separate power constraint (SPC). By comparison with the uniform power allocation scheme and the best channel power allocation scheme, we confirm that both the APC and SPC schemes achieve a performance gain over benchmark schemes. In addition, the impact of channel uncertainty is also considered in this paper by modeling the uncertainty regions as bounded sets, and results show that the uncertainty can degrade the worst- case performance significantly.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Vehicular Technology
Issue Date:
8-Sep-2012
DOI:
10.1109/TVT.2013.2252212
Type:
Article
ISSN:
0018-9545
Appears in Collections:
Articles; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorRao, Anleien
dc.contributor.authorNisar, M. Danishen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2012-09-08T15:08:40Z-
dc.date.available2012-09-08T15:08:40Z-
dc.date.issued2012-09-08en
dc.identifier.issn0018-9545en
dc.identifier.doi10.1109/TVT.2013.2252212en
dc.identifier.urihttp://hdl.handle.net/10754/242052en
dc.description.abstractIt has been shown that adaptive power allocation can provide a substantial performance gain in wireless communication systems when perfect channel state information (CSI) is available at the transmitter. However when only imperfect CSI is available, the performance may degrade significantly, and as such robust power allocation schemes have been developed to minimize the effects of this degradation. In this paper, we investigate power allocation strategies for multicarrier systems, in which each subcarrier employs single amplify-and-forward (AF) relaying scheme. Optimal power allocation schemes are proposed by maximizing the approximated channel capacity under aggregate power constraint (APC) and separate power constraint (SPC). By comparison with the uniform power allocation scheme and the best channel power allocation scheme, we confirm that both the APC and SPC schemes achieve a performance gain over benchmark schemes. In addition, the impact of channel uncertainty is also considered in this paper by modeling the uncertainty regions as bounded sets, and results show that the uncertainty can degrade the worst- case performance significantly.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.titleRobust Power Allocation for Multi-Carrier Amplify-and-Forward Relaying Systemsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Vehicular Technologyen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionGebze Institute of Technology (GYTE), P.K 141, 41400, Gebze, Kocaeli, Turkeyen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorRao, Anleien
kaust.authorAlouini, Mohamed-Slimen
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