  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.
