论文标题
迈向多个集成感应和通信基站系统：与功率约束的协作预编码设计
Toward Multiple Integrated Sensing and Communication Base Station Systems: Collaborative Precoding Design with Power Constraint
论文作者
论文摘要
多个集成感应和通信（ISAC）基站的协作感测是实现智能运输的重要技术之一。 ISAC基站之间的干扰消除是实现协作感应的先决条件。在本文中，我们专注于相互干扰的消除问题，以协作对多个ISAC基站的协作感知，这些问题可以通过传输ISAC信号通过传输ISAC信号同时通信和雷达感。我们建立了多个ISAC基站的相互干扰模型，该模型由通信和雷达感测相关的干扰组成。此外，我们提出了一种联合优化算法（JOA），以解决总功率约束（TPC）和Perantenna功率约束（PPC）的协作预编码问题。可以通过使用JOA在传感和通信性能之间设置适当的权衡系数来获得最佳的预编码设计。提出的协作预编码设计算法是通过通过数值结果考虑传感和通信性能来评估的。在本文中，还比较和模拟了JOA在TPC和PPC下进行协作预编码的复杂性。
The collaborative sensing of multiple Integrated sensing and communication (ISAC) base stations is one of the important technologies to achieve intelligent transportation. Interference elimination between ISAC base stations is the prerequisite for realizing collaborative sensing. In this paper, we focus on the mutual interference elimination problem in collaborative sensing of multiple ISAC base stations that can communicate and radar sense simultaneously by transmitting ISAC signals. We establish a mutual interference model of multiple ISAC base stations, which consists of communication and radar sensing related interference. Moreover, we propose a joint optimization algorithm (JOA) to solve the collaborative precoding problem with total power constraint (TPC) and perantenna power constraint (PPC). The optimal precoding design can be obtained by using JOA to set appropriate tradeoff coefficient between sensing and communication performance. The proposed collaborative precoding design algorithm is evaluated by considering sensing and communication performance via numerical results. The complexity of JOA for collaborative precoding under TPC and PPC is also compared and simulated in this paper.
