Joint beamforming, channel and power allocation in multi-user and multi-channel underlay MISO cognitive radio networks

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dc.contributor.authorDadallage, Suren Tharanga Darshana
dc.contributor.examiningcommitteeYahampath, Pradeepa (Electrical and Computer Engineering) Luo, Yunhua (Mechanical Engineering)en_US
dc.contributor.supervisorCai, Jun (Electrical and Computer Engineering)en_US
dc.date.accessioned2014-12-03T19:32:05Z
dc.date.available2014-12-03T19:32:05Z
dc.date.issued2014-12-03
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractIn this thesis, we consider joint beamforming, power, and channel allocation in a multi-user and multi-channel underlay cognitive radio network (CRN). In this system, beamforming is implemented at each SU-TX to minimize the co-channel interference. The formulated joint optimization problem is a non-convex, mixed integer nonlinear programming (MINLP) problem. We propose a solution which consists of two stages. At first, given a channel allocation, a feasible solutions for power and beamforming vectors are derived by converting the problem into a convex form with an introduced optimal auxiliary variable and semidefinite relaxation (SDR) approach. Next, two explicit searching algorithms, i.e., genetic algorithm (GA) and simulated annealing (SA)-based algorithm are proposed to determine optimal channel allocations. Simulation results show that beamforming, power and channel allocation with SA (BPCA-SA) algorithm achieves a close optimal sum-rate with a lower computational complexity compared with beamforming, power and channel allocation with GA (BPCA-GA) algorithm. Furthermore, our proposed allocation scheme shows significant improvement than zero-forcing beamforming (ZFBF).en_US
dc.description.noteFebruary 2015en_US
dc.identifier.urihttp://hdl.handle.net/1993/30077
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectCognitive radio networken_US
dc.subjectbeamformingen_US
dc.subjectsemidefinite relaxationen_US
dc.subjectgenetic algorithmen_US
dc.subjectsimulated annealingen_US
dc.titleJoint beamforming, channel and power allocation in multi-user and multi-channel underlay MISO cognitive radio networksen_US
dc.typemaster thesisen_US
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