Resilient-By-Design Framework for MIMO-OFDM Communications under Smart Jamming
<|reference_start|>Resilient-By-Design Framework for MIMO-OFDM Communications under Smart Jamming: Native jamming mitigation is essential for addressing security and resilience in future 6G wireless networks. In this paper a resilient-by-design framework for effective anti-jamming in MIMO-OFDM wireless communications is introduced. A novel approach that integrates information from wireless sensing services to develop anti-jamming strategies, which do not rely on any prior information or assumptions on the adversary's concrete setup, is explored. To this end, a method that replaces conventional approaches to noise covariance estimation in anti-jamming with a surrogate covariance model is proposed, which instead incorporates sensing information on the jamming signal's directions-of-arrival (DoAs) to provide an effective approximation of the true jamming strategy. The study further focuses on integrating this novel, sensing-assisted approach into the joint optimization of beamforming, user scheduling and power allocation for a multi-user MIMO-OFDM uplink setting. Despite the NP-hard nature of this optimization problem, it can be effectively solved using an iterative water-filling approach. In order to assess the effectiveness of the proposed sensing-assisted jamming mitigation, the corresponding worst-case jamming strategy is investigated, which aims to minimize the total user sum-rate. Experimental simulations eventually affirm the robustness of our approach against both worst-case and barrage jamming, demonstrating its potential to address a wide range of jamming scenarios. Since such an integration of sensing-assisted information is directly implemented on the physical layer, resilience is incorporated preemptively by-design.<|reference_end|>
@article{andrei2024resilient-by-design,
    title={Resilient-By-Design Framework for MIMO-OFDM Communications under Smart
  Jamming},
    author={Vlad C. Andrei, Aladin Djuhera, Xinyang Li, Ullrich J. M"onich,
  Holger Boche, Walid Saad},
    journal={arXiv preprint arXiv:2404.10598},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.10598},
    primaryClass={cs.IT eess.SP math.IT}
}