Core Concepts
A resilient-by-design framework is introduced that integrates wireless sensing information to develop effective anti-jamming strategies against worst-case adversarial jammers in MIMO-OFDM wireless communications.
Abstract
The paper presents a resilient-by-design framework for mitigating smart jamming attacks in MIMO-OFDM wireless communications. Key highlights:
The framework leverages wireless sensing information on the jamming signal's directions-of-arrival (DoAs) to develop anti-jamming strategies without relying on any prior assumptions about the adversary's setup.
A novel approach is proposed that replaces conventional noise covariance estimation in anti-jamming with a surrogate covariance model incorporating the jamming signal DoAs. This provides an effective approximation of the true jamming strategy.
The anti-jamming approach is integrated into the joint optimization of beamforming, user scheduling, and power allocation for a multi-user MIMO-OFDM uplink setting. An iterative water-filling algorithm is used to efficiently solve this NP-hard optimization problem.
To benchmark the proposed framework, the worst-case jamming strategy is investigated, which aims to minimize the total user sum-rate. A computationally efficient approximate solution is derived for this worst-case jamming problem.
Experimental simulations demonstrate the robustness of the proposed sensing-assisted anti-jamming approach against both worst-case and barrage jamming, showcasing its potential to address a wide range of jamming scenarios.
The integration of sensing-assisted information is directly implemented on the physical layer, ensuring resilience is incorporated preemptively by-design.
Stats
The paper does not provide any specific numerical data or statistics. It focuses on the theoretical framework and algorithmic development for the proposed anti-jamming approach.
Quotes
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