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非理想情况下K层密集异构蜂窝网的安全性能分析
引用本文:黄开枝, 许耘嘉, 丁大钊, 戚晓慧, 陈亚军. 非理想情况下K层密集异构蜂窝网的安全性能分析[J]. 电子与信息学报, 2017, 39(10): 2456-2463. doi: 10.11999/JEIT161376
作者姓名:黄开枝  许耘嘉  丁大钊  戚晓慧  陈亚军
基金项目:国家863计划项目(2015AA01A708),国家自然科学基金(61379006, 61401510, 61521003)
摘    要:密集异构蜂窝网络节点布置的随机性、动态性、复杂性等特点,导致实际场景中该系统的安全性能受非理想信道估计的影响更严重,然而目前对该系统安全性能的研究主要集中于理想场景,缺乏在非理想场景中的研究。针对这一问题,该文从密集异构蜂窝网自身结构及实际部署的特点出发,分析了信道估计存在误差时系统的安全性能。首先基于随机几何对系统建模,推导了非理想情况下K层密集异构蜂窝网的安全中断概率;然后分析了部分参数对系统安全性能的影响;最后,通过仿真验证了理论推导的有效性。

关 键 词:密集异构蜂窝   物理层安全   信道估计误差   安全中断概率
收稿时间:2016-12-16
修稿时间:2017-04-07

Secrecy Performance Analysis of K-tier Dense Heterogeneous CellularNetworks with Imperfect Channel State Information
HUANG Kaizhi, XU Yunjia, DING Dazhao, QI Xiaohui, CHEN Yajun. Secrecy Performance Analysis of K-tier Dense Heterogeneous CellularNetworks with Imperfect Channel State Information[J]. Journal of Electronics & Information Technology, 2017, 39(10): 2456-2463. doi: 10.11999/JEIT161376
Authors:HUANG Kaizhi  XU Yunjia  DING Dazhao  QI Xiaohui  CHEN Yajun
Abstract:Due to the characteristics of random, dynamic, and complex arrangement of dense heterogeneous cellular network nodes, the secrecy performance of the system is more seriously affected by the non-ideal channel estimation in the actual communication scenario. However, the research on the secrecy performance analysis of the dense heterogeneous cellular network mainly focuses on the ideal scene, but never involves non-ideal scene. To solve this problem, this paper considers the characteristics and actual deployment of the system,and analyzes the secrecy performance of the system when there exist channel estimation errors. First, based on stochastic geometry, the security outage probability of K-tier dense heterogeneous cellular networks is deduced. Then the influence of partial parameters on system security performance is analyzed. Finally, the validity of theoretical derivation is verified by simulation.
Keywords:Dense heterogeneous cellular networks  Physical layer security  Channel estimation errors  Security outage probability
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