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Physical Layer Security for STAR-RIS-NOMA: A Stochastic Geometry Approach

  • Ziyi Xie
  • , Yuanwei Liu
  • , Wenqiang Yi
  • , Xuanli Wu*
  • , Arumugam Nallanathan
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Queen Mary University of London
  • University of Essex

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a stochastic geometry based analytical framework is proposed for secure simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted non-orthogonal multiple access (NOMA) transmissions, where legitimate users (LUs) and eavesdroppers are randomly distributed. Both the time-switching protocol (TS) and energy splitting (ES) protocol are considered for the STAR-RIS. To characterize system performance, the channel statistics are first provided, and the Gamma approximation is adopted for general cascaded κ-μ fading. Afterward, the closed-form expressions for both the secrecy outage probability (SOP) and average secrecy capacity (ASC) are derived. To obtain further insights, the asymptotic performance for the secrecy diversity order and the secrecy slope are deduced. The theoretical results show that 1) the secrecy diversity orders of the strong LU and the weak LU depend on the path loss exponent and the distribution of the received signal-to-noise ratio, respectively; 2) the secrecy slope of the ES protocol achieves the value of one, higher than the slope of the TS protocol which is the mode operation parameter of TS. The numerical results demonstrate that: 1) there is an optimal STAR-RIS mode operation parameter to maximize the secrecy performance; 2) the STAR-RIS-NOMA significantly outperforms the STAR-RIS-orthogonal multiple access.

Original languageEnglish
Pages (from-to)6030-6044
Number of pages15
JournalIEEE Transactions on Wireless Communications
Volume23
Issue number6
DOIs
StatePublished - 1 Jun 2024
Externally publishedYes

Keywords

  • Non-orthogonal multiple access
  • performance analysis
  • physical layer security
  • reconfigurable intelligent surface
  • stochastic geometry

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