Optimization of multi-branch switched diversity systems

Handle URI:
http://hdl.handle.net/10754/561428
Title:
Optimization of multi-branch switched diversity systems
Authors:
Nam, Haewoon; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
A performance optimization based on the optimal switching threshold(s) for a multi-branch switched diversity system is discussed in this paper. For the conventional multi-branch switched diversity system with a single switching threshold, the optimal switching threshold is a function of both the average channel SNR and the number of diversity branches, where computing the optimal switching threshold is not a simple task when the number of diversity branches is high. The newly proposed multi-branch switched diversity system is based on a sequence of switching thresholds, instead of a single switching threshold, where a different diversity branch uses a different switching threshold for signal comparison. Thanks to the fact that each switching threshold in the sequence can be optimized only based on the number of the remaining diversity branches, the proposed system makes it easy to find these switching thresholds. Furthermore, some selected numerical and simulation results show that the proposed switched diversity system with the sequence of optimal switching thresholds outperforms the conventional system with the single optimal switching threshold. © 2009 IEEE.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Communications
Issue Date:
Oct-2009
DOI:
10.1109/TCOMM.2009.10.080177
Type:
Article
ISSN:
00906778
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.authorNam, Haewoonen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-02T09:11:02Zen
dc.date.available2015-08-02T09:11:02Zen
dc.date.issued2009-10en
dc.identifier.issn00906778en
dc.identifier.doi10.1109/TCOMM.2009.10.080177en
dc.identifier.urihttp://hdl.handle.net/10754/561428en
dc.description.abstractA performance optimization based on the optimal switching threshold(s) for a multi-branch switched diversity system is discussed in this paper. For the conventional multi-branch switched diversity system with a single switching threshold, the optimal switching threshold is a function of both the average channel SNR and the number of diversity branches, where computing the optimal switching threshold is not a simple task when the number of diversity branches is high. The newly proposed multi-branch switched diversity system is based on a sequence of switching thresholds, instead of a single switching threshold, where a different diversity branch uses a different switching threshold for signal comparison. Thanks to the fact that each switching threshold in the sequence can be optimized only based on the number of the remaining diversity branches, the proposed system makes it easy to find these switching thresholds. Furthermore, some selected numerical and simulation results show that the proposed switched diversity system with the sequence of optimal switching thresholds outperforms the conventional system with the single optimal switching threshold. © 2009 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.subjectAdaptive thresholden
dc.subjectAnd switching thresholden
dc.subjectDiversity combiningen
dc.subjectSwitched diversityen
dc.titleOptimization of multi-branch switched diversity systemsen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Communicationsen
dc.contributor.institutionMobile Devices Technology Office, Motorola Inc., Austin, TX, United Statesen
dc.contributor.institutionDepartment of Electrical Engineering, Texas AandM University at Qatar, Education City, Doha, Qataren
kaust.authorAlouini, Mohamed-Slimen
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