Minimizing the symbol-error-rate for amplify-and-forward relaying systems using evolutionary algorithms

Handle URI:
http://hdl.handle.net/10754/564040
Title:
Minimizing the symbol-error-rate for amplify-and-forward relaying systems using evolutionary algorithms
Authors:
Ahmed, Qasim Zeeshan; Ahmed, Sajid; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Aïssa, Sonia
Abstract:
In this paper, a new detector is proposed for an amplify-and-forward (AF) relaying system. The detector is designed to minimize the symbol-error-rate (SER) of the system. The SER surface is non-linear and may have multiple minimas, therefore, designing an SER detector for cooperative communications becomes an optimization problem. Evolutionary based algorithms have the capability to find the global minima, therefore, evolutionary algorithms such as particle swarm optimization (PSO) and differential evolution (DE) are exploited to solve this optimization problem. The performance of proposed detectors is compared with the conventional detectors such as maximum likelihood (ML) and minimum mean square error (MMSE) detector. In the simulation results, it can be observed that the SER performance of the proposed detectors is less than 2 dB away from the ML detector. Significant improvement in SER performance is also observed when comparing with the MMSE detector. The computational complexity of the proposed detector is much less than the ML and MMSE algorithms. Moreover, in contrast to ML and MMSE detectors, the computational complexity of the proposed detectors increases linearly with respect to the number of relays.
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:
IEEE Transactions on Communications
Issue Date:
Feb-2015
DOI:
10.1109/TCOMM.2014.2375255
Type:
Article
ISSN:
00906778
Sponsors:
This work was supported by a KAUST Global Cooperative Research (GCR) fund. The work of M.-S. Alouini was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP 5-250-2-087. This work was presented in part at the IEEE Vehicular Technology Conference (VTC-Spring), Yokohama, Japan, May 2012. The associate editor coordinating the review of this paper and approving it for publication was J. Yuan.
Appears in Collections:
Articles; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAhmed, Qasim Zeeshanen
dc.contributor.authorAhmed, Sajiden
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorAïssa, Soniaen
dc.date.accessioned2015-08-03T12:29:28Zen
dc.date.available2015-08-03T12:29:28Zen
dc.date.issued2015-02en
dc.identifier.issn00906778en
dc.identifier.doi10.1109/TCOMM.2014.2375255en
dc.identifier.urihttp://hdl.handle.net/10754/564040en
dc.description.abstractIn this paper, a new detector is proposed for an amplify-and-forward (AF) relaying system. The detector is designed to minimize the symbol-error-rate (SER) of the system. The SER surface is non-linear and may have multiple minimas, therefore, designing an SER detector for cooperative communications becomes an optimization problem. Evolutionary based algorithms have the capability to find the global minima, therefore, evolutionary algorithms such as particle swarm optimization (PSO) and differential evolution (DE) are exploited to solve this optimization problem. The performance of proposed detectors is compared with the conventional detectors such as maximum likelihood (ML) and minimum mean square error (MMSE) detector. In the simulation results, it can be observed that the SER performance of the proposed detectors is less than 2 dB away from the ML detector. Significant improvement in SER performance is also observed when comparing with the MMSE detector. The computational complexity of the proposed detector is much less than the ML and MMSE algorithms. Moreover, in contrast to ML and MMSE detectors, the computational complexity of the proposed detectors increases linearly with respect to the number of relays.en
dc.description.sponsorshipThis work was supported by a KAUST Global Cooperative Research (GCR) fund. The work of M.-S. Alouini was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP 5-250-2-087. This work was presented in part at the IEEE Vehicular Technology Conference (VTC-Spring), Yokohama, Japan, May 2012. The associate editor coordinating the review of this paper and approving it for publication was J. Yuan.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectbit error rate (BER)en
dc.subjectCooperative networksen
dc.subjectdifferential evolution (DE)en
dc.subjectminimum mean square error (MMSE)en
dc.subjectparticle swarm optimization (PSO)en
dc.subjectsteepest descent (SD)en
dc.titleMinimizing the symbol-error-rate for amplify-and-forward relaying systems using evolutionary algorithmsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Communicationsen
dc.contributor.institutionInstitut National de la Recherche Scientifique (INRS), University of QuebecMontreal, QC, Canadaen
kaust.authorAhmed, Qasim Zeeshanen
kaust.authorAhmed, Sajiden
kaust.authorAlouini, Mohamed-Slimen
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