标题： 多播ISAC中的分层功能优先级：最优接入控制和离散相位波束成形 显示英文标题

标题： Hierarchical Functionality Prioritization in Multicast ISAC: Optimal Admission Control and Discrete-Phase Beamforming

摘要： 我们研究了综合感知和通信（ISAC）系统中的联合接入控制和离散相位多播波束成形设计问题，其中感知和通信功能具有不同的层级。 具体来说，ISAC系统首先将资源分配给高层级功能，并且机会性地使用剩余资源来支持低层级功能。 这个资源分配问题是一个非凸混合整数非线性规划（MINLP）。 我们提出了一种精确的混合整数线性规划（MILP）重构方法，从而得到全局最优解。 此外，我们实现了三个基准方法以供比较，我们的提议方法比这些基准方法的性能高出超过39%。 显示英文摘要

摘要： We investigate the joint admission control and discrete-phase multicast beamforming design for integrated sensing and communications (ISAC) systems, where sensing and communications functionalities have different hierarchies. Specifically, the ISAC system first allocates resources to the higher-hierarchy functionality and opportunistically uses the remaining resources to support the lower-hierarchy one. This resource allocation problem is a nonconvex mixed-integer nonlinear program (MINLP). We propose an exact mixed-integer linear program (MILP) reformulation, leading to a globally optimal solution. In addition, we implemented three baselines for comparison, which our proposed method outperforms by more than 39%.