Energy Efficiency Optimization in Secure Full-Duplex ISAC Systems

In this letter, we consider the energy efficiency (EE) of the secure full-duplex integrated sensing and communication system. The base station simultaneously performs full-duplex wireless communications and targets sensing, where one of the targets is an eavesdropper. To achieve EE maximization under the secure rate and sensing constraints, we jointly optimize the transmit and receive beamforming as well as designing artificial noise. Since this problem is non-convex, we propose an algorithm based on semi-definite relaxation, successive convex approximation and fractional programming. The results indicate that the EE is optimized while the tradeoff among sensing performance, transmit power and EE is also achieved.