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Nakagami衰落条件下基于LIS的通信系统的保密性分析与错误概率

Secrecy Analysis and Error Probability of LIS-Aided Communication Systems under Nakagami- Fading.

作者信息

Ferreira Ricardo Coelho, Facina Michelle S P, de Figueiredo Felipe A P, Fraidenraich Gustavo, de Lima Eduardo Rodrigues

机构信息

Department of Communications, Faculty of Electrical and Computer Engineering, State University of Campinas, Av. Albert Einstein 400, Campinas 13083-970, SP, Brazil.

Instituto Nacional de Telecomunicações, Santa Rita do Sapucaí 37540-000, MG, Brazil.

出版信息

Entropy (Basel). 2021 Sep 30;23(10):1284. doi: 10.3390/e23101284.

DOI:10.3390/e23101284
PMID:34682010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8534998/
Abstract

Large intelligent surfaces (LIS) are a new trend to achieve higher spectral efficiency and signal-to-noise ratio in mobile communications. For this reason, this paper proposes metrics to analyze the performance of systems with multiple antennas aided by LIS and derive the spectral efficiency, secrecy outage probability, and bit error probability in an environment with Nakagami- distributed fading. In addition to an eavesdropper, there is a single-antenna user, an array of antennas at the transmitter side and the possibility of a direct link between transmitter and receiver. This study assumes that the LIS performs non-ideal phase cancellation leading to a residual phase error that follows a Von Mises distribution, and shows that the resulting channel can be accurately approximated by a Gamma distributed SNR whose parameters are analytically derived. From these formulas, it is possible to evaluate the effect of the strength of the line-of-sight link by varying the Nakagami parameter, .

摘要

大型智能表面(LIS)是在移动通信中实现更高频谱效率和信噪比的新趋势。因此,本文提出了一些指标来分析由LIS辅助的多天线系统的性能,并推导在具有 Nakagami 分布衰落的环境中的频谱效率、保密中断概率和误码率。除了一个窃听者外,还有一个单天线用户、发射端的天线阵列以及发射机和接收机之间存在直接链路的可能性。本研究假设 LIS 执行非理想相位抵消,导致残余相位误差服从冯·米塞斯分布,并表明所得信道可以由参数通过解析得出的伽马分布信噪比精确近似。根据这些公式,可以通过改变 Nakagami 参数来评估视距链路强度的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/f08596c9017e/entropy-23-01284-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/e40912b30824/entropy-23-01284-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/9b33108ebf39/entropy-23-01284-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/aa5ecfbef896/entropy-23-01284-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/6f0653a9e676/entropy-23-01284-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/64088eba48f3/entropy-23-01284-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/da3a3f3d1cfc/entropy-23-01284-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/e511fb19c055/entropy-23-01284-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/f08596c9017e/entropy-23-01284-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/e40912b30824/entropy-23-01284-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/9b33108ebf39/entropy-23-01284-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/aa5ecfbef896/entropy-23-01284-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/6f0653a9e676/entropy-23-01284-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/64088eba48f3/entropy-23-01284-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/da3a3f3d1cfc/entropy-23-01284-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/e511fb19c055/entropy-23-01284-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a2b/8534998/f08596c9017e/entropy-23-01284-g008.jpg

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本文引用的文献

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