TY - JOUR
T1 - Secrecy Capacity Analysis over α−μ Fading Channels
AU - Lei, Hongjiang
AU - Ansari, Imran Shafique
AU - pan, Gaofeng
AU - Alomair, Basel
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: 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.
PY - 2017/2/15
Y1 - 2017/2/15
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/622927
UR - http://ieeexplore.ieee.org/document/7856980/
UR - http://www.scopus.com/inward/record.url?scp=85020112719&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2017.2669976
DO - 10.1109/LCOMM.2017.2669976
M3 - Article
SN - 1089-7798
VL - 21
SP - 1445
EP - 1448
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 6
ER -