Secrecy Capacity Analysis over α−μ Fading Channels

Hongjiang Lei, Imran Shafique Ansari, Gaofeng pan, Basel Alomair, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

104 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)1445-1448
Number of pages4
JournalIEEE Communications Letters
Volume21
Issue number6
DOIs
StatePublished - Feb 15 2017

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