Show simple item record

dc.contributor.authorAlsharoa, Ahmad M.
dc.contributor.authorGhazzai, Hakim
dc.contributor.authorYaacoub, Elias E.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2015-08-04T07:28:15Z
dc.date.available2015-08-04T07:28:15Z
dc.date.issued2014-12
dc.identifier.isbn9781479935116
dc.identifier.doi10.1109/GLOCOM.2014.7036925
dc.identifier.urihttp://hdl.handle.net/10754/565014
dc.description.abstractIn this paper, the problem of both bandwidth and power allocation for two-way multiple relay systems in overlay cognitive radio (CR) setup is investigated. In the CR overlay mode, primary users (PUs) cooperate with cognitive users (CUs) for mutual benefits. In our framework, we propose that the CUs are allowed to allocate a part of the PUs spectrum to perform their cognitive transmission. In return, acting as an amplify-and-forward two-way relays, they are used to support PUs to achieve their target data rates over the remaining bandwidth. More specifically, CUs acts as relays for the PUs and gain some spectrum as long as they respect a specific power budget and primary quality-of-service constraints. In this context, we first derive closed-form expressions for optimal transmit power allocated to PUs and CUs in order to maximize the cognitive objective. Then, we employ a strong optimization tool based on particle swarm optimization algorithm to find the optimal relay amplification gains and optimal cognitive released bandwidths as well. Our numerical results illustrate the performance of our proposed algorithm for different utility metrics and analyze the impact of some system parameters on the achieved performance.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectOverlay cognitive radio systems
dc.subjectParticle swarm optimization algorithm
dc.subjectTwo-way relaying technique
dc.titleBandwidth and power allocation for two-way relaying in overlay cognitive radio systems
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journal2014 IEEE Global Communications Conference
dc.conference.date8 December 2014 through 12 December 2014
dc.conference.name2014 IEEE Global Communications Conference, GLOBECOM 2014
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar Science and Technology ParkDoha, Qatar
kaust.personAlsharoa, Ahmad M.
kaust.personGhazzai, Hakim
kaust.personAlouini, Mohamed-Slim


This item appears in the following Collection(s)

Show simple item record