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A stochastic geometry approach for analysing secrecy rate of multi-power level CRNs

Research output: Chapter in Book/Report/Conference proceedingConference paper

Original languageEnglish
Title of host publication2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
PublisherIEEE
Pages916-921
Number of pages6
ISBN (Electronic)9781509061969
DOIs
Publication statusPublished - 20 Jul 2017
Event14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 - Las Vegas, United States
Duration: 8 Jan 201711 Jan 2017

Publication series

Name Consumer Communications & Networking Conference (CCNC), 2017 14th IEEE Annual
ISSN (Electronic)2331-9860

Conference

Conference14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
CountryUnited States
CityLas Vegas
Period8/01/201711/01/2017

King's Authors

Abstract

In this paper, motivated by recent developments in physical layer (PHY) security, we study the achievable secrecy rate of a multi-power level cognitive radio network (CRN) based on stochastic geometry distribution. We consider a realistic transmission scheme with multiple levels of transmission power. Additionally, having multi-level power strategy can help improve security as eavesdroppers will find it more difficult to recognize the exact power level of the legitimate users. We derive the achievable secrecy rate in an additive white Gaussian noise channel for a cognitive radio model. Furthermore, the cumulative distribution function of the achievable secrecy rate between the primary transmitter and receiver is studied. Finally, we investigate the outage probability of secrecy capacity of the legitimate user from a secure communication graph point of view.

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