Resilient-by-Design Framework for MIMO-OFDM Communications Under Smart Jamming

Details

• Creators:
  Andrei, Vlad C ; Djuhera, Aladin ; Li, Xinyang ; Monich, Ullrich J. ; Boche, Holger ; Saad, Walid
• Corporate Creators:
  Technical University of Munich ; Virginia Tech
• Corporate Contributors:
  German Federal Ministry of Education and Research (BMBF) ; Bavarian Ministry of Economic Affairs ; Center for Assured and Resilient Navigation in Advanced Transportation Systems (CARNATIONS) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  6G Communication Multiple-Input Multiple-Output (MIMO) Resilience (Materials) Resilience-by-Design Resource Allocation Scheduling User Scheduling Worst-Case Jamming
• Resource Type:
  Journal Article
• Geographical Coverage:
  United States
• Corporate Publisher:
  Virginia Tech ; Technical University of Munich
• Abstract:
  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.
• Format:
  PDF
• Funding:
  69A3552348324
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:9a3427e15b5c871ce55274304c07b68665423be8e0dda876ef5803619dea99dd7386929d0005a597aec2d28a1e8dcbb87930c27de528bcdce8a395606f66aa6b
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/80055/dot_80055_DS1.pdf
• File Type:
  [PDF - 879.51 KB ]