Secrecy Capacity Analysis over α−μ Fading Channels

Handle URI:
http://hdl.handle.net/10754/622927
Title:
Secrecy Capacity Analysis over α−μ Fading Channels
Authors:
Lei, Hongjiang ( 0000-0002-9070-6300 ) ; Ansari, Imran Shafique; Pan, Gaofeng; Alomair, Basel; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this work, we study the secrecy capacity of the classic Wyner’s model over the α − μ fading channels, where α and μ specify the nonlinearity and clustering of fading channels, respectively. The average secrecy capacity (ASC) is derived in closed-form by using the extended generalized bivariate Fox’s Hfunction (EGBFHF). Moreover, the asymptotic analysis of ASC in high signal-to-noise ratio (SNR) regime is conducted. The asymptotic results unveil that the ASC follows the scaling law of Θ(ln p), where p stands for the ratio between the average powers of main channels and eavesdropping channels. Moreover, the ASC can be enhanced by increasing the transmit SNR, while there exists a ceiling of ASC as the SNRs at both sides are improved simultaneously. The accuracy of the analytical results is validated by Monte-Carlo simulations. The numerical results show that rigorous fading channels are beneficial to the secrecy performance, that is, serious nonlinearity (small α) and sparse clustering (small μ) will lead to the improvement of ASC.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Lei H, Ansari IS, Pan G, Alomair B, Alouini M-S (2017) Secrecy Capacity Analysis over α−μ Fading Channels. IEEE Communications Letters: 1–1. Available: http://dx.doi.org/10.1109/LCOMM.2017.2669976.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Communications Letters
Issue Date:
15-Feb-2017
DOI:
10.1109/LCOMM.2017.2669976
Type:
Article
ISSN:
1089-7798
Sponsors:
This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61471076, 61401372, the Project of Fundamental and Frontier Research Plan of Chongqing under Grant cstc2015jcyjBX0085, and the Scientific and Technological Research Program of Chongqing Municipal Education Commission under Grant KJ1600413.
Additional Links:
http://ieeexplore.ieee.org/document/7856980/
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorLei, Hongjiangen
dc.contributor.authorAnsari, Imran Shafiqueen
dc.contributor.authorPan, Gaofengen
dc.contributor.authorAlomair, Baselen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-02-26T06:34:21Z-
dc.date.available2017-02-26T06:34:21Z-
dc.date.issued2017-02-15en
dc.identifier.citationLei H, Ansari IS, Pan G, Alomair B, Alouini M-S (2017) Secrecy Capacity Analysis over α−μ Fading Channels. IEEE Communications Letters: 1–1. Available: http://dx.doi.org/10.1109/LCOMM.2017.2669976.en
dc.identifier.issn1089-7798en
dc.identifier.doi10.1109/LCOMM.2017.2669976en
dc.identifier.urihttp://hdl.handle.net/10754/622927-
dc.description.abstractIn this work, we study the secrecy capacity of the classic Wyner’s model over the α − μ fading channels, where α and μ specify the nonlinearity and clustering of fading channels, respectively. The average secrecy capacity (ASC) is derived in closed-form by using the extended generalized bivariate Fox’s Hfunction (EGBFHF). Moreover, the asymptotic analysis of ASC in high signal-to-noise ratio (SNR) regime is conducted. The asymptotic results unveil that the ASC follows the scaling law of Θ(ln p), where p stands for the ratio between the average powers of main channels and eavesdropping channels. Moreover, the ASC can be enhanced by increasing the transmit SNR, while there exists a ceiling of ASC as the SNRs at both sides are improved simultaneously. The accuracy of the analytical results is validated by Monte-Carlo simulations. The numerical results show that rigorous fading channels are beneficial to the secrecy performance, that is, serious nonlinearity (small α) and sparse clustering (small μ) will lead to the improvement of ASC.en
dc.description.sponsorshipThis work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61471076, 61401372, the Project of Fundamental and Frontier Research Plan of Chongqing under Grant cstc2015jcyjBX0085, and the Scientific and Technological Research Program of Chongqing Municipal Education Commission under Grant KJ1600413.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7856980/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectextended generalized bivariate Fox’s Hfunctionen
dc.subjectPhysical layer securityen
dc.subjectaverage secrecy capacityen
dc.subject− μ fading channelen
dc.titleSecrecy Capacity Analysis over α−μ Fading Channelsen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Communications Lettersen
dc.eprint.versionPost-printen
dc.contributor.institutionChongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Communications, Chongqing 400065, Chinaen
dc.contributor.institutionDepartment of Electrical and Computer Engineering (ECEN), Texas A&M University at Qatar (TAMUQ), Education City, Doha, Qataren
dc.contributor.institutionChongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing, 400715, Chinaen
dc.contributor.institutionNational Center for Cybersecurity Technology (C4C), King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabiaen
kaust.authorLei, Hongjiangen
kaust.authorAlouini, Mohamed-Slimen
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