Beamforming Optimization for Full-Duplex NOMA Enabled Integrated Sensing and Communication

In this paper, a full-duplex (FD) non-orthogonal multiple access (NOMA) enabled integrated sensing and communication (ISAC) framework is investigated, where the base station (BS) carries out simultaneous target detection, uplink and downlink communication as well as separates the sensing reflection and uplink communication signals with successive interference cancellation (SIC). A beamforming optimization problem is formulated to maximize the sensing signal-to-interference-plus-noise ratio (SINR), subject to downlink SINR requirement for each downlink user equipment (DUE), and we use semidefinite relaxation (SDR) to solve such a non-convex optimization problem. Numerical results demonstrate the performance gain obtained by combining FD and NOMA in ISAC system and the performance tradeoff between sensing and communication.