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arXiv 2610.11987eess.SP

双波导集成感知与通信(ISAC)系统的联合捏合天线位置与功率优化

Joint Pinching-Antenna Position and Power Optimization for Dual-Waveguide ISAC Systems

Saeid Pakravan, Imene Trigui, Wessam Ajib, Wei-Ping Zhu

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中文总结 AI 辅助

本文针对双波导ISAC系统,联合优化捏合天线位置与发射功率,提出交替优化算法,在满足感知与定位约束下提升通信速率,性能优于基准方案。

中文摘要 AI 辅助

捏合天线(PA)系统可沿介质波导的可控辐射位置为集成感知与通信(ISAC)提供空间可重构性。本文研究双波导PA辅助的ISAC系统,其中通信用户同时作为感知目标,通过共同的用户/目标几何结构耦合通信与感知链路。空间分离的发射和接收波导可对前向和反向感知路径提供独立的空间控制。我们联合优化发射和接收PA的位置及发射功率,以在满足最小感知信噪比(SNR)、二维定位克拉美罗界(CRB)要求,以及功率、能量和部署约束的前提下最大化总通信速率。为求解该非凸问题,我们提出一种交替优化算法,将有界注水功率更新与近端一阶联合PA位置更新相结合。数值结果表明,所提设计相较于考虑的基准方案实现了更高的通信速率,且在严格的定位要求下增益更为显著。

英文摘要

Pinching-antenna (PA) systems provide spatial reconfigurability for integrated sensing and communication (ISAC) through controllable radiation locations along dielectric waveguides. This paper investigates a dual-waveguide PA-assisted ISAC system in which the communication user also serves as the sensing target, coupling the communication and sensing links through a common user/target geometry. Spatially separated transmit and receive waveguides provide separate spatial control over the forward and return sensing paths. We jointly optimize the transmit and receive PA positions and transmit power to maximize the aggregate communication rate subject to minimum sensing-SNR and two-dimensional localization Cramer-Rao bound (CRB) requirements, along with power, energy, and deployment constraints. To solve the resulting non-convex problem, we develop an alternating optimization algorithm that combines a bounded water-filling power update with a proximal first-order joint PA-position update. Numerical results show that the proposed design achieves higher communication rates than the considered benchmarks, with more pronounced gains under stringent localization requirements.

发表机构

  • University of Quebec in Montreal (UQAM)(蒙特利尔大学)
  • University of Quebec at Chicoutimi (UQAC)(沙蒂莫尼大学)
  • Concordia University(康考迪亚大学)

机构由 AI 辅助整理,请以论文原文为准。

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