Article (Scientific journals)
Unified Framework for Secrecy Characteristics with Mixture of Gaussian (MoG) Distribution
Kong, Long; Chatzinotas, Symeon; Ottersten, Björn
2020In IEEE Wireless Communications Letters, p. 57363 - 57371
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Keywords :
Physical layer security (PLS); mixture of Gaussian distribution
Abstract :
[en] The mixture of Gaussian (MoG) distribution was proposed to model the wireless channels by implementing the completely unsupervised expectation-maximization (EM) learning algorithm. With the high convenience for density estimation applications, the focus of this letter is supposed to investigate the secrecy metrics, including secrecy outage probability (SOP), the lower bound of SOP, the probability of non-zero secrecy capacity (PNZ), and the average secrecy capacity (ASC) from the information-theoretic perspective. The above-mentioned metrics are derived with simple and unified closed-form expressions. The effectiveness of our obtained analytical expressions are successfully examined and compared with Monte-Carlo simulations. One can conclude that this letter provides a simple but effective closed-form secrecy analysis solution exploiting the MoG distribution.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Kong, Long ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Unified Framework for Secrecy Characteristics with Mixture of Gaussian (MoG) Distribution
Publication date :
01 June 2020
Journal title :
IEEE Wireless Communications Letters
ISSN :
2162-2345
Publisher :
IEEE Communications Society, Piscataway, United States - New Jersey
Pages :
57363 - 57371
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR11607830 - Exploiting Interference For Physical Layer Security In 5g Networks, 2017 (01/02/2018-31/07/2021) - Bjorn Ottersten
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