Intelligent Reflecting Surface Enhanced Secure Transmission Against Both Jamming and Eavesdropping Attacks

Both the jammer and eavesdropper pose severe threat to wireless communications due broadcast nature of channels. In this paper, an intelligent reflecting surface (IRS) assisted secure communication system is considered, where a base station (BS) wishes reliably convey information user, in presence both whose transmit informations are not completely known. Specifically, with imperfect third-party node's channel state (CSI) no knowledge jammer's beamforming, we aim maximize achievable rate by jointly designing BS's beamforming IRS's reflect while limiting leakage potential eavesdropper. Due non-convexity intractability original problem induced incompleted information, utilize auxiliary variables, Cauchy-Schwarz inequality, General Sign-Definiteness transformation convert optimization into tractable convex problem, then obtain high-quality optimal solution using successive approximation penalty concave procedure. Numerical simulations demonstrate superiority our proposed algorithm compared existing approaches, also reveal impact key parameters on performance.