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On the Secrecy-Sensing Optimization of RIS-assisted Full-Duplex Integrated Sensing and Communication Network

Elmehdi Illi, Ahmad Bazzi, Marwa Qaraqe, Ali Ghrayeb

TL;DR

A robust reconfigurable intelligent surface (RIS)-aided scheme for securing a full-duplex (FD) ISAC network is proposed and numerical results present the proposed scheme’s efficacy, particularly when a direct link between the BS and the various nodes/targets is absent.

Abstract

Integrated sensing and communication (ISAC) has recently emerged as a viable technique for establishing sensing and communication using the same resources. Nonetheless, the operation of ISAC networks is often challenged by the absence of a direct link between the sensing node and the targets, and by the risk of disclosing confidential data to malicious targets when using the same signal for both tasks. In this paper, a robust reconfigurable intelligent surface (RIS)-aided scheme for securing a full-duplex (FD) ISAC network is proposed. The considered network consists of uplink and downlink users served in FD through a multi-antenna dual-functional radar communication base station (BS), which employs co-located multi-antenna communication-radar arrays to detect multiple malicious targets while preserving communication secrecy in their presence. Additionally, the BS utilizes an optimized artificial noise (AN) that serves to disrupt the malicious targets' reception and increase the sensing power. By optimally designing the RIS phase shifts, transmit beamforming, AN covariance, and uplink users' transmit power and combining vectors using an alternating optimization-based algorithm, the network's sensing performance is maximized under secrecy and total power constraints. Numerical results present the proposed scheme's efficacy, particularly when a direct link between the BS and the various nodes/targets is absent.

On the Secrecy-Sensing Optimization of RIS-assisted Full-Duplex Integrated Sensing and Communication Network

TL;DR

A robust reconfigurable intelligent surface (RIS)-aided scheme for securing a full-duplex (FD) ISAC network is proposed and numerical results present the proposed scheme’s efficacy, particularly when a direct link between the BS and the various nodes/targets is absent.

Abstract

Integrated sensing and communication (ISAC) has recently emerged as a viable technique for establishing sensing and communication using the same resources. Nonetheless, the operation of ISAC networks is often challenged by the absence of a direct link between the sensing node and the targets, and by the risk of disclosing confidential data to malicious targets when using the same signal for both tasks. In this paper, a robust reconfigurable intelligent surface (RIS)-aided scheme for securing a full-duplex (FD) ISAC network is proposed. The considered network consists of uplink and downlink users served in FD through a multi-antenna dual-functional radar communication base station (BS), which employs co-located multi-antenna communication-radar arrays to detect multiple malicious targets while preserving communication secrecy in their presence. Additionally, the BS utilizes an optimized artificial noise (AN) that serves to disrupt the malicious targets' reception and increase the sensing power. By optimally designing the RIS phase shifts, transmit beamforming, AN covariance, and uplink users' transmit power and combining vectors using an alternating optimization-based algorithm, the network's sensing performance is maximized under secrecy and total power constraints. Numerical results present the proposed scheme's efficacy, particularly when a direct link between the BS and the various nodes/targets is absent.
Paper Structure (18 sections, 1 theorem, 52 equations, 7 figures, 1 table, 1 algorithm)

This paper contains 18 sections, 1 theorem, 52 equations, 7 figures, 1 table, 1 algorithm.

Table of Contents

  1. Introduction
  2. Background
  3. Related Work
  4. Paper Contributions
  5. Paper Organization
  6. Notations
  7. System and Channel Models
  8. Communication and Eavesdropping Models
  9. Secrecy Evaluation Metrics
  10. Radar Sensing Model
  11. Secrecy-Sensing Trade-off Optimization Problem
  12. Optimization Problem Formulation and Equivalent Representation
  13. Successive Convex Approximation-based Alternating Optimization for Secure RIS-aided FD-DFRC Design
  14. Optimal Receive Combining Vector $\left\{ \mathbf{r}_{k}\right\} _{k=1}^{K}$ for Given $\mathbf{p,}\left\{ \mathbf{W}_{j}\right\} _{j=1}^{J}\mathbf{,C}_{z},\mathbf{\Phi} ,$ and $\alpha$
  15. Optimal $\mathbf{p,}\left\{ \mathbf{W}_{j}\right\} _{j=1\ldots ,J}\mathbf{,C}_{z}$, and $\alpha$ For Given $\left\{ \mathbf{r}_{k}\right\} _{k=1}^{K},\mathbf{\Phi}$
  16. ...and 3 more sections

Key Result

Theorem 1

The constraint $\mathrm{(C3b)}$ in (C3d) is a convex function of $\mathbf{p,}\left\{ \mathbf{W}_{j}\right\} _{j=1}^J$, and $\mathbf{C}_{z}$.

Figures (7)

  • Figure 1: Considered ISAC network mode: Dashed-lined beams are the ones reflected by the RIS.
  • Figure 2: Evolution of $P_s^{(l)}$ at the eavesdroppers' directions and the objective function of $P_{6}^{(q)}$ ($\alpha$) vs. the iteration index.
  • Figure 3: DL SC of the considered scheme vs. $\gamma _{U,\mathrm{DL}}^{(\min )}$ evaluated for different $N_{t},N_{r}$ values.
  • Figure 4: RIS beampattern vs. the RIS look-direction $(\varphi _{0})$ for three different DL SINR requirements.
  • Figure 5: $\gamma _{\mathrm{echo}}^{(l)}$ of the $L$ targets in the network vs. $\gamma _{U,DL}^{(\min )}$.
  • ...and 2 more figures

Theorems & Definitions (6)

  • Remark 1
  • Remark 2
  • Remark 3
  • Remark 4
  • Theorem 1
  • proof