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dc.contributor.authorBen Ghorbel, Mahdi
dc.contributor.authorGuenach, Mamoun
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2015-06-30T14:29:08Z
dc.date.available2015-06-30T14:29:08Z
dc.date.issued2014-05-12
dc.identifier.doi10.1109/WIOPT.2014.7130897
dc.identifier.urihttp://hdl.handle.net/10754/558680
dc.description.abstractThe objective of this paper is to propose a reduceddimension resource allocation scheme in the context of cognitive radio system in presence of co-channel interference between users. We assume a multicarrier transmission for both the primary and secondary systems. Instead of optimizing the powers over all sub-carriers, the sub-carriers are grouped into clusters of sub-carriers, where the power of each sub-carrier is directly related to the power of the correspondent cluster. The power optimization is done only over the set of clusters instead of all sub-carriers which can significantly reduce the complexity of the resource allocation problem. The performance loss of the reduced dimension solution with respect to the optimal solution, where the optimization is carried over all active sub-carriers, allows trading-off complexity versus performance. Numerical evaluation indeed revealed that a limited performance loss occurs by optimizing over a reduced set of clusters instead of the full optimization in the context of cognitive radio systems.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7130897
dc.rights(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleReduced-dimension power allocation over clustered channels in cognitive radios system under co-channel interference
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journal2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
dc.eprint.versionPost-print
kaust.personBen Ghorbel, Mahdi
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-14T07:17:25Z


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