Pareto-Optimal Waveform Design for Multi-User and Multi-Target MIMO-ISAC Systems

In this paper, we propose a multi-objective optimization-based waveform design for multi-user and multi-target MIMO-ISAC system. Specifically, by striking a trade-off between communication and sensing (C&S) objectives, the waveform with different performance preferences can be flexibly design. Due to the existence of multi-user interference, we consider the constructive interference (CI) mechanism during precoding. To tackle the conflict constraints in ISAC systems, we propose a weighted Chebyshev-based transformation scheme to re-frame the C&S trade-off problem as a Pareto-optimal problem, then develop a successive convex approximation algorithm to solve it. Simulation results reveal the trade-off relation between C&S performances, which provides insights for the flexible waveform design under difference C&S performance preferences in multi-user and multi-target ISAC systems.