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RIS-Aided Monitoring With Cooperative Jamming: Design and Performance Analysis

Shuying Lin, Yulong Zou, Zhiyang Li, Tong Wu, Eduard E. Bahingayi, Le-Nam Tran

TL;DR

This work investigates RIS-aided wireless surveillance with cooperative jamming, introducing two schemes (RISLO and RISCO) that exploit partial CSI for RIS phase design and optimal jammer selection to maximize monitoring performance. Closed-form SSP expressions are derived for both schemes, alongside benchmarks with random jammer selection, and asymptotic analyses reveal a tradeoff between CSI overhead and performance, particularly as jamming power increases. The results show that leveraging CSI in jammer selection yields substantial SSP gains, especially at moderate jamming power and with a larger RIS, while the benefits diminish at very high jamming power. Simulation validates the theory and demonstrates that RISLO typically outperforms RISCO by more effectively exploiting CSI across LS and CJ links.

Abstract

We investigate a reconfigurable intelligent surface (RIS) aided wireless surveillance system. In this system, a monitor not only receives signal from suspicious transmitter via a RIS-enhanced legitimate surveillance (LS) link but also simultaneously takes control of multiple jammers to degrade the quality of received suspicious signal. Under this setup, to enhance monitoring performance requires improvements of both the received signal quality at the monitor and the cooperative jamming (CJ). Considering that the surveillance system is aided by one RIS, whose phase shift optimization involves both channel state information (CSI) of the LS and CJ links, we utilize partial CSI to alleviate the CSI acquisition burden in our design. We propose two RIS-aided monitoring schemes with optimal jammer selection (OJS), and derive their closed-form expressions of surveillance success probability (SSP), respectively. Furthermore, we consider RIS-aided monitoring schemes with random jammer selection as corresponding benchmarks. Thereafter, we analyze special cases where the jammers are using power control to avoid being found, making it appears like passive monitoring. Also, the effect of RIS is highlighted by considering asymptotically large number of RIS elements. Numerical results verify that the proposed OJS strategy further enhances the RIS-aided monitoring performance compared with non-jammer-selection RISLR and RISCR schemes, where the superiority comes at the cost of CSI knowledge and becomes marginal in the region of high jamming power. In addition, the RISLO shows surveillance performance advantage overRISCOwhen the suspicious power is low or when the number of RIS elements is large.

RIS-Aided Monitoring With Cooperative Jamming: Design and Performance Analysis

TL;DR

This work investigates RIS-aided wireless surveillance with cooperative jamming, introducing two schemes (RISLO and RISCO) that exploit partial CSI for RIS phase design and optimal jammer selection to maximize monitoring performance. Closed-form SSP expressions are derived for both schemes, alongside benchmarks with random jammer selection, and asymptotic analyses reveal a tradeoff between CSI overhead and performance, particularly as jamming power increases. The results show that leveraging CSI in jammer selection yields substantial SSP gains, especially at moderate jamming power and with a larger RIS, while the benefits diminish at very high jamming power. Simulation validates the theory and demonstrates that RISLO typically outperforms RISCO by more effectively exploiting CSI across LS and CJ links.

Abstract

We investigate a reconfigurable intelligent surface (RIS) aided wireless surveillance system. In this system, a monitor not only receives signal from suspicious transmitter via a RIS-enhanced legitimate surveillance (LS) link but also simultaneously takes control of multiple jammers to degrade the quality of received suspicious signal. Under this setup, to enhance monitoring performance requires improvements of both the received signal quality at the monitor and the cooperative jamming (CJ). Considering that the surveillance system is aided by one RIS, whose phase shift optimization involves both channel state information (CSI) of the LS and CJ links, we utilize partial CSI to alleviate the CSI acquisition burden in our design. We propose two RIS-aided monitoring schemes with optimal jammer selection (OJS), and derive their closed-form expressions of surveillance success probability (SSP), respectively. Furthermore, we consider RIS-aided monitoring schemes with random jammer selection as corresponding benchmarks. Thereafter, we analyze special cases where the jammers are using power control to avoid being found, making it appears like passive monitoring. Also, the effect of RIS is highlighted by considering asymptotically large number of RIS elements. Numerical results verify that the proposed OJS strategy further enhances the RIS-aided monitoring performance compared with non-jammer-selection RISLR and RISCR schemes, where the superiority comes at the cost of CSI knowledge and becomes marginal in the region of high jamming power. In addition, the RISLO shows surveillance performance advantage overRISCOwhen the suspicious power is low or when the number of RIS elements is large.
Paper Structure (14 sections, 38 equations, 7 figures, 1 table)

This paper contains 14 sections, 38 equations, 7 figures, 1 table.

Table of Contents

  1. Introduction
  2. System Model
  3. RIS-Aided Monitoring System
  4. Surveillance Success Probability
  5. Proposed RIS-Aided Monitoring Schemes and SSP Analysis
  6. RISLO: RIS phase optimization based on Legitimate surveillance channel with Optimal jammer selection
  7. Phase Optimization and Jammer Selection
  8. SSP Analysis of RISLO
  9. RISCO: RIS phase optimization based on Cooperative jamming channel with Optimal jammer selection
  10. Phase Optimization and Jammer Selection
  11. SSP Analysis of RISCO
  12. Asymptotic Analysis in Useful Special Cases
  13. Simulation Results and Discussions
  14. Conclusion

Figures (7)

  • Figure 1: An RIS-aided wireless monitoring system assisted by multiple jammers.
  • Figure 2: Surveillance outage probability of RISLR, RISLO, RISCR, and RISCO schemes versus jamming SNR, where “ t." and “ s." stand for theoretical and simulation results, respectively.
  • Figure 3: Surveillance success probability of RISLR, RISLO, RISCR, and RISCO schemes versus MSR.
  • Figure 4: Surveillance success probability of RISLR, RISLO, RISCR, and RISCO schemes versus relative monitoring rate.
  • Figure 5: Surveillance success probability of RISLR, RISLO, RISCR, and RISCO schemes versus the transmit SNR at the SS.
  • ...and 2 more figures

Theorems & Definitions (2)

  • Remark 1: Asymptotic analysis with high jamming SNR
  • Remark 2: Performance gain from RIS in RISLO and RISCO