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dc.contributor.authorAbdallah, Mohamed M.
dc.contributor.authorSayed, Mostafa M.
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorQaraqe, Khalid A.
dc.date.accessioned2015-08-04T07:04:58Z
dc.date.available2015-08-04T07:04:58Z
dc.date.issued2012-09
dc.identifier.isbn9781467318815
dc.identifier.issn15502252
dc.identifier.doi10.1109/VTCFall.2012.6399104
dc.identifier.urihttp://hdl.handle.net/10754/564605
dc.description.abstractSpectrum sharing systems have been introduced to alleviate the problem of spectrum scarcity by allowing secondary unlicensed networks to share the spectrum with primary licensed networks under acceptable interference levels to the primary users. In this paper, we develop interference-aware random beam selection schemes that provide enhanced throughput for the secondary link under the condition that the interference observed at the primary link is within a predetermined acceptable value. For a secondary transmitter equipped with multiple antennas, our schemes select a random beam, among a set of power- optimized orthogonal random beams, that maximizes the capacity of the secondary link while satisfying the interference constraint at the primary receiver for different levels of feedback information describing the interference level at the primary receiver. For the proposed schemes, we develop a statistical analysis for the signal-to-noise and interference ratio (SINR) statistics as well as the capacity of the secondary link. Finally, we present numerical results that study the effect of system parameters including number of beams and the maximum transmission power on the capacity of the secondary link attained using the proposed schemes. © 2012 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectBeamforming
dc.subjectCognitive radio
dc.subjectMulti-antenna systems
dc.subjectSpectrum sharing
dc.titleInterference-aware random beam selection for spectrum sharing systems
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journal2012 IEEE Vehicular Technology Conference (VTC Fall)
dc.conference.date3 September 2012 through 6 September 2012
dc.conference.name76th IEEE Vehicular Technology Conference, VTC Fall 2012
dc.conference.locationQuebec City, QC
dc.contributor.institutionElectrical and Computer Engineering, Texas AandM University at Qatar, Doha, Qatar
dc.contributor.institutionVarkon Semiconductors, Maadi, Cairo, Egypt
kaust.personAlouini, Mohamed-Slim


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