Active RIS-Aided Anti-Jamming Wireless Communications: A Stackelberg Game Perspective
Xiao Tang, Zhen Ma, Bin Li, Cong Li, Qinghe Du, Dusit Niyato, Zhu Han

TL;DR
This paper proposes a game-theoretic framework using active reconfigurable intelligent surfaces to enhance anti-jamming capabilities in wireless communications, demonstrating improved performance over baseline methods.
Contribution
It introduces a Stackelberg game model for active RIS-assisted anti-jamming, deriving equilibrium strategies through bi-level optimization and iterative convex approximation techniques.
Findings
Active RIS significantly improves legitimate transmission quality.
The proposed scheme outperforms baseline methods in simulations.
Strategic interaction modeling enhances anti-jamming effectiveness.
Abstract
The pervasive threat of jamming attacks, particularly from adaptive jammers capable of optimizing their strategies, poses a significant challenge to the security and reliability of wireless communications. This paper addresses this issue by investigating anti-jamming communications empowered by an active reconfigurable intelligent surface. The strategic interaction between the legitimate system and the adaptive jammer is modeled as a Stackelberg game, where the legitimate user, acting as the leader, proactively designs its strategy while anticipating the jammer's optimal response. We prove the existence of the Stackelberg equilibrium and derive it using a backward induction method. Particularly, the jammer's optimal strategy is embedded into the leader's problem, resulting in a bi-level optimization that jointly considers legitimate transmit power, transmit/receive beamformers, and…
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Taxonomy
TopicsSecurity in Wireless Sensor Networks · Wireless Communication Security Techniques · Radar Systems and Signal Processing
