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dc.contributor.authorVarshney, Neeraj
dc.contributor.authorSharma, Prabhat K.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2019-04-28T13:14:11Z
dc.date.available2019-04-28T13:14:11Z
dc.date.issued2018-05-23
dc.identifier.urihttp://hdl.handle.net/10754/632530
dc.description.abstractThis work proposes an optimal metric for opportunistic scheduling of secondary user transmitters (SU-TXs) in underlay cognitive radio based multiple-input multiple-output radio frequency/free space optical (MIMO-RF/FSO) decode-and-forward system with fixed and proportional interference power constraints. To analyze the performance of the proposed system, the closed-form expressions are derived for the exact and asymptotic outage probabilities considering orthogonal space-time block coded transmission over Nakagami-$m$ fading RF links. Further, the FSO link between the relay and destination eNodeB is modeled as the Generalized M\'{a}laga $(\mathcal{M})$ turbulence channel with pointing errors. Finally, simulation results are presented to develop several interesting insights into the end-to-end system performance and the selection probabilities of SU-TXs. It is also shown that the proposed system outperforms the ones existing in the current literature.
dc.publisherarXiv
dc.relation.urlhttp://arxiv.org/abs/1805.08943v1
dc.relation.urlhttp://arxiv.org/pdf/1805.08943v1
dc.rightsArchived with thanks to arXiv
dc.titleOpportunistic Scheduling in Underlay Cognitive Radio based MIMO-RF/FSO Networks
dc.typePreprint
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.eprint.versionPre-print
dc.contributor.institutionDepartment of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York 13244, USA
dc.contributor.institutionDepartment of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology (NIT) Nagpur, Maharastra 440010, India
dc.identifier.arxivid1805.08943
kaust.personAlouini, Mohamed-Slim
dc.versionv1
refterms.dateFOA2019-04-29T06:29:17Z


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