dc.contributor.author Varshney, Neeraj dc.contributor.author Sharma, Prabhat K. dc.contributor.author Alouini, Mohamed-Slim dc.date.accessioned 2019-04-28T13:14:11Z dc.date.available 2019-04-28T13:14:11Z dc.date.issued 2018-05-23 dc.identifier.uri http://hdl.handle.net/10754/632530 dc.description.abstract This 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.publisher arXiv dc.relation.url http://arxiv.org/abs/1805.08943v1 dc.relation.url http://arxiv.org/pdf/1805.08943v1 dc.rights Archived with thanks to arXiv dc.title Opportunistic Scheduling in Underlay Cognitive Radio based MIMO-RF/FSO Networks dc.type Preprint dc.contributor.department Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division dc.contributor.department Electrical Engineering Program dc.eprint.version Pre-print dc.contributor.institution Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York 13244, USA dc.contributor.institution Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology (NIT) Nagpur, Maharastra 440010, India dc.identifier.arxivid 1805.08943 kaust.person Alouini, Mohamed-Slim dc.version v1 refterms.dateFOA 2019-04-29T06:29:17Z
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