CSI-based NOMA for Integrated Sensing and Communication

Integrated sensing and communication (ISAC) is a key enabler of fifth-generation and beyond networks and a multitude of futuristic applications. However, the coexistence, scheduling and  scarcity issues due to additional sensing signals are valid concerns. If a communicating device also requires sensing, it can use its communication signal for sensing. But if a non-communicating device requires sensing, the additional sensing signals will cause extra traffic in the network. Thus, in this letter, a novel integrated sensing and communication with iterative channel estimation (ISAC-ICE) method is proposed to provide spectral efficiency while maintaining sensing and communication performance. The simulation results and complexity analysis demonstrate that the proposed method with a linearithmic complexity enables non-orthogonal multiple accessing (NOMA) of ISAC.