Power Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining

Handle URI:
http://hdl.handle.net/10754/577007
Title:
Power Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining
Authors:
Rakia, Tamer; Hong-Chuan Yang; Gebali, Fayez; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Hybrid 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.
KAUST Department:
Electrical Engineering Program
Citation:
Power Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining 2015, 7 (4):1 IEEE Photonics Journal
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Photonics Journal
Issue Date:
23-Jul-2015
DOI:
10.1109/JPHOT.2015.2460118
Type:
Article
ISSN:
1943-0655
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7165579
Appears in Collections:
Articles; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorRakia, Tameren
dc.contributor.authorHong-Chuan Yangen
dc.contributor.authorGebali, Fayezen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-09-09T13:50:17Zen
dc.date.available2015-09-09T13:50:17Zen
dc.date.issued2015-07-23en
dc.identifier.citationPower Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining 2015, 7 (4):1 IEEE Photonics Journalen
dc.identifier.issn1943-0655en
dc.identifier.doi10.1109/JPHOT.2015.2460118en
dc.identifier.urihttp://hdl.handle.net/10754/577007en
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.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7165579en
dc.rightsArchived with thanks to IEEE Photonics Journalen
dc.subjectHybrid free-space optical (FSO)/radio-frequency (RF)en
dc.subjectGamma–Gamma atmospheric turbulence modelen
dc.subjectpointing errorsen
dc.subjectNakagami-m fading modelen
dc.subjectoutage probabilityen
dc.subjectmaximal ratio combining (MRC)en
dc.subjectpower adaptationen
dc.titlePower Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combiningen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Photonics Journalen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8P 5C2, Canadaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorAlouini, Mohamed-Slimen
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