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dc.contributor.authorHanif, Muhammad Fainan
dc.contributor.authorSmith, Peter J.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2015-08-04T06:21:09Z
dc.date.available2015-08-04T06:21:09Z
dc.date.issued2010
dc.identifier.isbn9781424458868
dc.identifier.doi10.4108/ICST.CROWNCOM2010.9199
dc.identifier.urihttp://hdl.handle.net/10754/564262
dc.description.abstractIn this paper we consider the problem of signal-to-interference-plus-noise ratio (SINR) balancing in the downlink of cognitive radio (CR) networks while simultaneously keeping interference levels at primary user (PU) receivers (RXs) below an acceptable threshold with uncertain channel state information available at the CR base-station (BS). We optimize the beamforming vectors at the CR BS so that the worst user SINR is maximized and transmit power constraints at the CR BS and interference constraints at the PU RXs are satisfied. With uncertainties in the channel bounded by a Euclidean ball, the semidefinite program (SDP) modeling the balancing problem is solved using the recently developed convex iteration technique without relaxing the rank constraints. Numerical simulations are conducted to show the effectiveness of the proposed technique in comparison to known approximations.
dc.publisherEuropean Alliance for Innovation n.o.
dc.titleSINR balancing in the downlink of cognitive radio networks with imperfect channel knowledge
dc.typeConference Paper
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalProceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications
dc.conference.date9 June 2010 through 11 June 2010
dc.conference.name2010 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010
dc.conference.locationCannes
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand
kaust.personAlouini, Mohamed-Slim


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