Intelligent reflecting surface assisted anti-jamming approach for wireless communications

Due to the openness of wireless channels, wireless communications are increasingly vulnerable to malicious jamming attacks. In order to improve the wireless communication anti-jamming performance, this paper proposes an intelligent reflecting surface (IRS) based anti-jamming communication method. For the proposed system, nonlinear, multivariate coupled power minimization resource allocation model is formulated to achieve the bi-directional improvement of spectrum and energy performance, while meeting the user’s received signal-to-noise ratio constraint and continuous phase shift constraint. Alternative optimization and semi-positive definite relaxation are used to solve the non-convex optimization problem to obtain the optimal transmit beam and IRS phase shift. In addition, considering the high computational complexity, we further propose an optimal and low-complexity algorithm to obtain the closed-form solution for optimal transmit beamforming. Also, for practicality and fast responsiveness, a practical and fast-response anti-interference algorithm is proposed to cope with time-varying high dynamic jamming attacks. Finally, as compared to the benchmark schemes, the simulation results show that the proposed algorithm converges faster, and has about 30 dB anti-jamming performance improvement in terms of the power consumption and the jamming margin.