发表机构
School of EECS, Ohio University; Faculty of Engineering and Applied Science, Memorial University（俄亥俄大学电气与计算机工程学院; 纪念大学工程与应用科学学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对离散激活的PASS-ISAC系统，提出联合优化波束成形与天线激活的JDPABO算法，在低感知SNR下逼近连续放置性能并优于固定激活方案。
AI 中文摘要
夹捏天线系统（PASS）为集成感知与通信（ISAC）提供了灵活的辐射点，但现有设计大多假设天线连续放置，这在预装硬件条件下可能不切实际。我们研究了一种离散激活的多波导PASS-ISAC系统，该系统从预定义位置中选择稀疏的发射和接收夹捏天线（TPA/RPA）。我们通过联合优化波束成形和TPA/RPA激活，在发射功率、激活和感知信噪比（SNR）约束下，构建了一个通信速率最大化问题。为解决这一非凸问题，我们开发了一种基于交替优化、逐次凸逼近和重加权$\ell_1$最小化的低复杂度联合离散夹捏天线激活与波束成形优化（JDPABO）算法。仿真表明，在低感知SNR要求下，JDPABO接近连续放置的性能，并且以稀疏PA激活优于固定激活方案。
英文摘要
Pinching-antenna systems (PASS) offer flexible radiation points for integrated sensing and communication (ISAC), but existing designs largely assume continuous antenna placement, which may be impractical with pre-installed hardware. We investigate a discrete-activation multi-waveguide PASS-ISAC system that selects sparse transmit and receive pinching antennas (TPAs/RPAs) from predefined locations. We formulate a communication-rate maximization problem by jointly optimizing beamforming and TPA/RPA activation under transmit-power, activation, and sensing signal-to-noise ratio (SNR) constraints. To solve this nonconvex problem, we develop a low-complexity joint discrete pinching-antenna activation and beamforming optimization (JDPABO) algorithm based on alternating optimization, successive convex approximation, and reweighted $\ell_1$ minimization. Simulations show that JDPABO approaches continuous-placement performance at low sensing SNR requirements and outperforms fixed activation schemes with sparse PA activation.
Comments6 pages, 5 figures, accepted for publication in the proceeding of the IEEE CCNC-2027
