有源窃听条件下部署多天线接入点的无小区大规模多输入多输出系统的安全性能分析

IF 1.9 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Xiaoyu Wang, Yuanyuan Gao, Guangna Zhang, Mingxi Guo, Kui Xu
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引用次数: 0

摘要

本文研究了在无小区大规模多输入多输出系统下,接入点多天线部署对物理层安全的影响。为了体现网络多输入多输出的概念,无小区大规模多输入多输采用了大量地理分布的接入点,在同一频率-时间资源中联合服务于多个用户。假设恶意主动窃听者知道瞬时信道状态信息,我们导出了可实现保密率的渐近闭式表达式,用于评估网络安全性能。提出了一种基于不同用户信道衰落程度的分布式功率分配方案。所有接入点都将较大比例的本地传输功率分配给信道条件较好的用户。我们验证了多天线接入点的安全性能优于单天线接入点。与等功率分配相比,所提出的功率控制算法可以进一步提高网络安全性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Security performance analysis for cell-free massive multiple-input multiple-output system with multi-antenna access points deployment in presence of active eavesdropping
This article investigates the influence of multiple-antenna deployment at access points on physical layer security under cell-free massive multiple-input multiple-output systems. To embody the concept of network multiple-input multiple-output, cell-free massive multiple-input multiple-output employs a great deal of geographically distributed access points, which jointly serve multiple users in the same frequency-time resource. Assuming a malicious active eavesdropper having knowledge of instantaneous channel state information, we derive the asymptotic closed-form expression of the achievable secrecy rate, which is used to evaluate network security performance. A distributed power allocation scheme is developed based on channel fading degrees of different users. All of access points distribute a larger proportion of local transmission power to the users with better channel conditions. We verified that the security performance of the multi-antenna access points outperforms that of the single one. Compared to equal power allocation, the proposed power control algorithm can further boost the network security performance.
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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