1 AIT Asian Institute of Technology

Spectrum sharing in overlay and underlay paradigms for cognitive communication improvements

AuthorManosha, Kapuruhamy Badalge Shashika
Call NumberAIT Thesis no.ICT-10-17
Subject(s)Cognitive radio networks

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technology, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. ICT-10-17
AbstractThe concepts of underlay and overlay paradigms for spectrumsharing for the cognitivecommunication improvement is analyzed.The coexistence of a cognitive radio network with a primary network using spectrumunderlay communication is modeled as a non-cooperative power and rate control game.The main objective is to maximize the utility of each secondary user making them moreenergy efficient. Quality of Service levels of SUs are guaranteed by max-min fair signalto interference plus noise ratio concept while maintainingQoS level of the primaryuser, thus resulting reduced sum interference. The applicability of the proposed novelpricing scheme and the algorithm is discussed with respect to a heterogeneous. Byreducing the sum power of SUs we explore the survival of cognitive users in a loweredinterference threshold environment. The existence and uniqueness of Nash equilibriumand its Pareto efficiency is discussed. By using a common platform for rates and utili-ties, existing algorithms are compared.Further, a new system model is introduced for spectrum sharing in a multi-operatorenvironment. The cognitive radio network operates in underlay/overlay (hybrid) par-adigm sharing the licensed spectrum. Primary networks are benefitted by the relayingcapability of the cognitive base station. The cognitive network also helps itself bytransmitting its own data along with the primary data on the same band, while agree-ing to maintain the signal to interference plus noise ratiosof the primary users. Itoperates in underlay mode with an imposed interference threshold. Maximizing thesecondary user capacity is investigated based on two approaches. Initially the primaryuser generated interference is assumed to be cancelled and the objective function is an-alyzed using linear programming. Then by counting primary interference, the problemis solved using geometric programming.
Year2010
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. ICT-10-17
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSInformation and Communication Technology (ICT)
Chairperson(s)Rajatheva, R.M.A.P.;
Examination Committee(s)Ahmed, Kazi M.;Poompat Saengudomlert;
Scholarship Donor(s)The Government of Finland;
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2010


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