
FOLLOWUS
1Chongqing Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2 MOE Key Laboratory of Optoelectronic Technology and Systems, Chongqing University, Chongqing 400044, China
3Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar
4Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, Chongqing 400715, China
E-mail: leihj@cqupt.edu.cn
E-mail: chaogaocqu@126.com
收稿:2016-05-08,
录用:2016-6-6,
纸质出版:2016-10
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基于generalized-K信道的SIMO的物理层安全性能分析[J]. 信息与电子工程前沿(英文), 2016,17(10):1074-1084.
Hong-jiang LEI, Imran Shafique ANSARI, Chao GAO, et al. Secrecy performance analysis of single-input multiple-output generalized-K fading channels#[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 1074-1084.
基于generalized-K信道的SIMO的物理层安全性能分析[J]. 信息与电子工程前沿(英文), 2016,17(10):1074-1084. DOI: 10.1631/FITEE.1601070.
Hong-jiang LEI, Imran Shafique ANSARI, Chao GAO, et al. Secrecy performance analysis of single-input multiple-output generalized-K fading channels#[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 1074-1084. DOI: 10.1631/FITEE.1601070.
该文研究了基于generalized-
K
信道的单发多收系统的物理层安全性能。分别考虑源节点在有和没有窃听信道的信道状态信息的两种情况,将generalized-
K
分布近似为伽马分布和混合伽马分布,分别推导出系统的保密中断概率和平均保密容量的解析表达式。最后通过蒙特卡罗仿真验证了分析结果。
In this paper
the transmission of confidential messages through single-input multiple-output (SIMO) independent and identically generalized-e fading channels is considered
where the eavesdropper overhears the transmission from the transmitter to the receiver. Both the receiver and the eavesdropper are equipped with multiple antennas
and both active and passive eavesdroppings are considered where the channel state information of the eavesdropper's channel is or is not available at the transmitter. The secrecy performance of SIMO e systems is investigated. Analytical expressions for secrecy outage probability and average secrecy capacity of SIMO systems are derived via two different methods
in which KG distribution is approximated by the Gamma and mixture Gamma distributions
respectively. Numerical results are presented and verified via the Monte-Carlo simulation.
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