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Robust relay beamforming against jamming attack

Maleki Sadr, M. A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/LCOMM.2017.2773466
  3. Abstract:
  4. In this letter, we surpass the jamming effect and also estimate the jamming channel state information by using Kalman filtering (KF) approach. Furthermore, we design a closed-form beamforming weight for maximizing the achievable rate subject to the condition that the total relays power transmission would be below a predefined threshold level, which is formulated as a Quadratically Constrained Quadratic Program (QCQP). Simulation results show efficient performance of the proposed method for different destruction powers of jammer by achieving the Cramer Rao Lower Bound (CRLB). IEEE
  5. Keywords:
  6. Channel estimation ; Jamming attack ; Kalman filter ; Mathematical model ; Robustness ; Array processing ; Beamforming ; Channel state information ; Cramer-Rao bounds ; Estimation ; Information filtering ; Jamming ; Kalman filters ; Mathematical models ; Quadratic programming ; Robustness (control systems) ; Signal processing ; Array signal processing ; Collaborative beamforming ; Imperfect CSI ; Jamming attacks ; Relays ; Channel estimation
  7. Source: IEEE Communications Letters ; 2017 ; 10897798 (ISSN)
  8. URL: https://ieeexplore.ieee.org/document/8107503