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dc.contributor.supervisor Cai, Jun (Electrical and Computer Engineering) en_US
dc.contributor.author Dadallage, Suren Tharanga Darshana
dc.date.accessioned 2014-12-03T19:32:05Z
dc.date.available 2014-12-03T19:32:05Z
dc.date.issued 2014-12-03
dc.identifier.uri http://hdl.handle.net/1993/30077
dc.description.abstract In 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.rights info:eu-repo/semantics/openAccess
dc.subject Cognitive radio network en_US
dc.subject beamforming en_US
dc.subject semidefinite relaxation en_US
dc.subject genetic algorithm en_US
dc.subject simulated annealing en_US
dc.title Joint beamforming, channel and power allocation in multi-user and multi-channel underlay MISO cognitive radio networks en_US
dc.type info:eu-repo/semantics/masterThesis
dc.type master thesis en_US
dc.degree.discipline Electrical and Computer Engineering en_US
dc.contributor.examiningcommittee Yahampath, Pradeepa (Electrical and Computer Engineering) Luo, Yunhua (Mechanical Engineering) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note February 2015 en_US


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