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dc.contributor.authorRakia, Tamer
dc.contributor.authorHong-Chuan Yang
dc.contributor.authorGebali, Fayez
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2015-09-09T13:50:17Z
dc.date.available2015-09-09T13:50:17Z
dc.date.issued2015-07-23
dc.identifier.citationPower Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining 2015, 7 (4):1 IEEE Photonics Journal
dc.identifier.issn1943-0655
dc.identifier.doi10.1109/JPHOT.2015.2460118
dc.identifier.urihttp://hdl.handle.net/10754/577007
dc.description.abstractHybrid free-space optical (FSO)/radio-frequency (RF) systems have emerged as a promising solution for high-data-rate wireless communications. In this paper, we consider power adaptation strategies based on truncated channel inversion for the hybrid FSO/RF system employing adaptive combining. Specifically, we adaptively set the RF link transmission power when FSO link quality is unacceptable to ensure constant combined signal-to-noise ratio (SNR) at the receiver. Two adaptation strategies are proposed. One strategy depends on the received RF SNR, whereas the other one depends on the combined SNR of both links. Analytical expressions for the outage probability of the hybrid system with and without power adaptation are obtained. Numerical examples show that the hybrid FSO/RF system with power adaptation achieves a considerable outage performance improvement over the conventional system.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7165579
dc.rightsArchived with thanks to IEEE Photonics Journal
dc.subjectHybrid free-space optical (FSO)/radio-frequency (RF)
dc.subjectGamma–Gamma atmospheric turbulence model
dc.subjectpointing errors
dc.subjectNakagami-m fading model
dc.subjectoutage probability
dc.subjectmaximal ratio combining (MRC)
dc.subjectpower adaptation
dc.titlePower Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Photonics Journal
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-13T10:58:52Z
dc.date.published-online2015-07-23
dc.date.published-print2015-08


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