标题： ISAC系统中的最优用户和目标调度、用户-目标配对以及低分辨率纯相位波束成形 显示英文标题

标题： Optimal User and Target Scheduling, User-Target Pairing, and Low-Resolution Phase-Only Beamforming for ISAC Systems

摘要： 我们研究了集成感知与通信（ISAC）中的联合用户和目标调度、用户-目标配对以及低分辨率纯相位波束成形设计。 调度决定哪些用户和目标被服务，而配对则指定哪些用户和目标被分组为对。 此外，波束成形器使用少量比特的常模相移进行设计。 此资源分配问题是一个非凸混合整数非线性规划（MINLP），难以求解。 为了解决这个问题，我们提出了一个精确的混合整数线性规划（MILP）重新表述，从而得到全局最优解。 我们的结果显示，与高度依赖场景特性的启发式分阶段方法相比，最优联合设计具有优越性。 显示英文摘要

摘要： We investigate the joint user and target scheduling, user-target pairing, and low-resolution phase-only beamforming design for integrated sensing and communications (ISAC). Scheduling determines which users and targets are served, while pairing specifies which users and targets are grouped into pairs. Additionally, the beamformers are designed using few-bit constant-modulus phase shifts. This resource allocation problem is a nonconvex mixed-integer nonlinear program (MINLP) and challenging to solve. To address it, we propose an exact mixed-integer linear program (MILP) reformulation, which leads to a globally optimal solution. Our results demonstrate the superiority of an optimal joint design compared to heuristic stage-wise approaches, which are highly sensitive to scenario characteristics.