2024, 46(3): 875-885.
doi: 10.11999/JEIT230343
Abstract:
To address issues such as reduced communication quality and poor security caused by malicious jamming attacks, eavesdropping, and imperfect channel state information, a robust resource allocation algorithm for Intelligent Reflecting Surface(IRS)-assisted anti-jamming secure communication system is proposed in this paper. Firstly, based on the minimum security rate constraint, maximum transmit power constraint, and IRS phase shift constraint of legitimate users, a robust resource allocation problem is constructed by jointly optimizing the beamforming vectors of the base station, the covariance matrix of artificial noise, and the phase shift matrix of IRS, in the presence of imperfect channel state information of illegal nodes and unknown beamforming vectors of jammers. Secondly, to solve the problem, the original optimisation problem is transformed into an tractable convex optimisation problem using alternating optimisation, the Cauchy-Schwarz inequality, successive convex approximations and Taylor series expansions. The simulation results demonstrate that the proposed algorithm can effectively enhance system security, reduce power consumption, and improve anti-jamming resilience, compared to traditional algorithms. Furthermore, within a certain range of channel errors, it can decrease the probability of confidential interruption by approximately 35%, indicating its strong robustness.