论文标题
RIS辅助集成感应和通信系统的联合波束成形设计
Joint Beamforming Design for RIS-Assisted Integrated Sensing and Communication Systems
论文作者
论文摘要
综合传感和通信（ISAC）已被设想为解决未来网络的频谱拥塞问题的有前途的技术。在此通信中，我们调查以在ISAC系统中部署可重构的智能表面（RIS），以实现更好的性能。特别是，一个多Antenna基站（BS）同时在RIS的协助下为多个单人体使用者提供服务，并检测潜在的目标。联合优化了BS的主动波束和RI的被动横梁形成，以最大化通信使用者的可实现的总和率，同时满足BeamPattern在雷达传感，RIS的限制和发射发电预算的限制下的约束。开发了一种基于分数编程（FP），大型化最小化（MM）和歧管优化方法的有效交替算法，以将所得的非convex优化问题转换为两个可溶解的子问题，并迭代地求解它们。仿真研究说明了将RIS部署在ISAC系统中的进步以及所提出的算法的有效性。
Integrated sensing and communication (ISAC) has been envisioned as a promising technology to tackle the spectrum congestion problem for future networks. In this correspondence, we investigate to deploy a reconfigurable intelligent surface (RIS) in an ISAC system for achieving better performance. In particular, a multi-antenna base station (BS) simultaneously serves multiple single-antenna users with the assistance of a RIS and detects potential targets. The active beamforming of the BS and the passive beamforming of the RIS are jointly optimized to maximize the achievable sum-rate of the communication users while satisfying the constraint of beampattern similarity for radar sensing, the restriction of the RIS, and the transmit power budget. An efficient alternating algorithm based on the fractional programming (FP), majorization-minimization (MM), and manifold optimization methods is developed to convert the resulting non-convex optimization problem into two solvable sub-problems and iteratively solve them. Simulation studies illustrate the advancement of deploying RIS in ISAC systems and the effectiveness of the proposed algorithm.
