发表机构
University of Toronto（多伦多大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对可夹取天线辅助ISAC系统的高维非凸位置优化难题，提出基于用户聚类的低复杂度设计，将位置调谐转化为权重分配，以梯度方法高效求解，显著提升通信-感知权衡。
AI 中文摘要
可夹取天线系统（PASSs）通过调整夹取位置以适应通信信道重塑和感知波束控制，为集成感知与通信（ISAC）提供了极大的灵活性。尽管如此，在PASSs中直接进行位置优化是高维且非凸的，这使得其在实际中的快速重构变得困难。本工作提出了一种基于用户聚类的低复杂度PASS辅助ISAC设计。不是直接优化夹取位置，而是将每个波导上的元件分布在多个段上，其中每个段服务于一组用户或目标。这种替代配置将位置调谐问题简化为低维权重分配任务，可以通过基于梯度的方法高效解决。我们提出了一种低复杂度迭代算法，其中数字预编码器通过等效加权均方误差最小化更新，而夹取位置通过权重分配和投影更新。我们的数值实验表明，与基准设计相比，所提出的设计可以显著增强ISAC系统的通信-感知权衡，且计算成本适中。结果突显了在实际ISAC系统中部署PASS辅助收发器的潜在优势。
英文摘要
Pinching-antenna systems (PASSs) offer a great degree of flexibility for integrated sensing and communications (ISAC) by adapting the pinching locations for both communication channel reshaping and sensing-beam steering. Despite that, direct location optimization in PASSs is high-dimensional and non-convex, making their fast reconfiguration difficult in practice. This work proposes a low-complexity PASS-assisted ISAC design based on user clustering. Instead of direct optimization of pinching locations, the elements on each waveguide are distributed over multiple segments, where each segment serves a cluster of users or targets. This alternative configuration reduces the location tuning problem to a low-dimensional weight allocation task, which can be efficiently addressed via a gradient based method. We propose a low-complexity iterative algorithm, in which the digital precoder is updated via an equivalent weighted mean squared error minimization, and pinching locations are updated via weight allocation and projection. Our numerical experiments show that the proposed design can significantly enhance the communication-sensing trade-off of ISAC systems over the benchmark designs with modest computational cost. The results highlight the potential gain of deploying PASS-assisted transceiver in practical ISAC systems.
CommentsThis work has been accepted for publication in the Proceedings of the IEEE Global Communications Conference (GLOBECOM) 2026
