4.7 Article Proceedings Paper

Secrecy Analysis of Distributed CDD-Based Cooperative Systems With Deliberate Interference

Journal

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume 17, Issue 12, Pages 7865-7878

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2018.2871200

Keywords

Distributed single carrier systems; physical layer security; distributed cyclic delay diversity; secrecy outage probability; probability of non-zero achievable secrecy rate

Funding

  1. U.S. National Science Foundation [CNS-1702808]
  2. European Commission through the H2020-MSCA ETN-5Gwireless Project [641985]
  3. H2020-MSCA ETN-5Gaura Project [675806]
  4. Agence Nationale de la Recherche Scientifique (ANR) through the Research Project SpatialModulation (Societe de l'Information et de la Communication-Action Plan 2015)

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In this paper, a cooperative cyclic-prefixed single carrier (CP-SC) system is studied and a scheme to improve its physical layer security is proposed. In particular, a distributed cyclic delay diversity (dCDD) scheme is employed and a deliberate interfering method is introduced, which degrades the signal-to-interference-plus-noise ratio (SINR) over the channels from a group of remote radio heads (RRHs) to an eavesdropper, while minimizing the signal-to-noise ratio loss over the channels from the RRHs to an intended user. This is obtained by selecting one RRH that acts as an interfering RRH and transmits an interfering artificial noise sequence to the eavesdropper. Through the use of the dCDD scheme, a channel that minimizes the receive SINR at the eavesdropper is selected for the interfering RRH. This choice enhances the secrecy rate of the CP-SC system. The system performance is evaluated by considering the secrecy outage probability and the probability of non-zero achievable secrecy rate, which are formulated in closed-form analytical expressions for the case of identically and non-identically distributed frequency selective fading channels. Based on the proposed analytical framework, the diversity order of the system is studied. Monte Carlo simulations are employed to verify the analytical derivations for numerous system scenarios.

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