Reference : Unified Framework for Secrecy Characteristics with Mixture of Gaussian (MoG) Distribution
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/43869
Unified Framework for Secrecy Characteristics with Mixture of Gaussian (MoG) Distribution
English
Kong, Long mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
1-Jun-2020
IEEE Wireless Communications Letters
IEEE Communications Society
57363 - 57371
Yes (verified by ORBilu)
2162-2337
2162-2345
Piscataway
NJ
[en] Physical layer security (PLS) ; mixture of Gaussian distribution
[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.
Researchers ; Students ; General public
http://hdl.handle.net/10993/43869
10.1109/LWC.2020.2999361
https://ieeexplore.ieee.org/document/9105083
FnR ; FNR11607830 > Bjorn Ottersten > CI-PHY > Exploiting interference for physical layer security in 5G networks > 01/02/2018 > 31/01/2021 > 2017

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