Uncertainty-Aware Jamming Mitigation with Active RIS: A Robust Stackelberg Game Approach
Xiao Tang, Zhen Ma, Limeng Dong, Yichen Wang, Qinghe Du, Dusit Niyato, Zhu Han

TL;DR
This paper proposes a robust anti-jamming strategy using active reconfigurable intelligent surfaces and a Stackelberg game framework to effectively mitigate malicious jamming under channel uncertainties.
Contribution
It introduces a novel Stackelberg game approach for robust anti-jamming design with active RIS, addressing channel uncertainties and optimizing power, beamforming, and reflection.
Findings
The proposed scheme effectively mitigates jamming under uncertainties.
Simulation shows superior performance compared to baseline methods.
The equilibrium existence and optimal policies are theoretically validated.
Abstract
Malicious jamming presents a pervasive threat to the secure communications, where the challenge becomes increasingly severe due to the growing capability of the jammer allowing the adaptation to legitimate transmissions. This paper investigates the jamming mitigation by leveraging an active reconfigurable intelligent surface (ARIS), where the channel uncertainties are particularly addressed for robust anti-jamming design. Towards this issue, we adopt the Stackelberg game formulation to model the strategic interaction between the legitimate side and the adversary, acting as the leader and follower, respectively. We prove the existence of the game equilibrium and adopt the backward induction method for equilibrium analysis. We first derive the optimal jamming policy as the follower's best response, which is then incorporated into the legitimate-side optimization for robust anti-jamming…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Wireless Communication Security Techniques · Security in Wireless Sensor Networks
