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Effective secrecy-sinr analysis of time reversal-employed systems over correlated multi-path channel


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Tran, Ha-Vu, Tran, Hung, Kaddoum, Georges, Tran, Duc-Dung et Ha, Dac-Binh. 2015. « Effective secrecy-sinr analysis of time reversal-employed systems over correlated multi-path channel ». In IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (Abu Dhabi, United Arab Emirates, Oct. 19-21, 2015) pp. 527-532. IEEE.
Compte des citations dans Scopus : 9.

Kaddoum G. 2015 10574 Effective Secrecy-SINR Analysis of Time Reversal-Employed Systems over Correlated Multi-path Channel.pdf

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Based on the capability of harvesting the energy of all paths in the multipath environment, time-reversal (TR) transmission technique offers a great potential of low-complexity energy-efficient communications for future wireless network. The TR-employed systems benefit from a significantly reduced leakage of message-bearing signal to unintended users or eavesdroppers. In this paper, we propose a term so-called average effective secrecy signal-to-interference-plus-noise ratio (SINR) which represents the secrecy performance of TR-employed systems. Furthermore, we also consider: (i) the channel correlation between transmit antennas, and (ii) the channel correlation between a legitimate user and an eavesdropper. Accordingly, we derive the average effective secrecy-SINR in a closed-form expression of TR-employed systems. The obtained expression is based on the exact poweraveraged expressions of the desired signal and the inter-symbol interference (ISI) components at both the legitimate user and eavesdropper side. The analytical results confirmed by numerical simulations show that the average effective secrecy-SINR metric is preferred to the average secrecy-SINR term in the perspective of measuring secrecy performance over correlated multi-path channel.

Item Type: Conference proceeding
Kaddoum, Georges
Affiliation: Génie électrique
Date Deposited: 15 Sep 2015 18:00
Last Modified: 08 Jan 2016 19:32

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