Robust Beamforming Design for NOMA Enabled Coordinated Multi-Cell ISAC Systems

Integrated sensing and communication (ISAC), which can share spectrum and reduce hardware costs, is considered as a promising technique for future 6G networks. However, ISAC faces challenges in practical scenarios, including massive connections, inter-cell interference, and target angle uncertainty. To address the above issue, this letter investigates a multi-cell ISAC system enabled by non-orthogonal multiple access (NOMA), where the angle of the sensing target is uncertain. A robust transmit and receive beamforming design problem is formulated which maximizes the communication users’ sum rate while satisfying the sensing demand and power constraints simultaneously. The alternating optimization (AO) algorithm is adopted to solve the original optimization problem. Numerical results are provided to demonstrate the effectiveness and superiority of the proposed scheme over the baseline multiple access schemes.