标题： 具有不完善信道状态信息的夹紧天线系统的鲁棒资源分配 显示英文标题

标题： Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI

摘要： 夹钳天线技术最近展示了其在重新配置无线传播环境方面的潜力，特别是在高频通信系统如毫米波和太赫兹频段中。 通过将天线动态放置在介质波导上，可以建立视距（LoS）连接，从而显著提高系统性能。 尽管近期的研究已经展示了夹钳天线辅助设计的优势，但它们主要假设用户位置是完全已知的——这在实际系统中是一个不切实际的假设。 为了解决这个问题，研究了具有不确定用户位置的多用户夹钳天线下行系统的鲁棒资源分配，旨在最小化总发射功率的同时满足个体中断概率约束。 首先，我们处理单用户情况，推导出最优的夹钳天线位置，并使用二分法结合几何分析获得相应的功率分配。 然后我们将此解决方案扩展到多用户情况。 在这种情况下，使用粒子群优化（PSO）算法优化夹钳天线位置，以处理产生的非凸和不可微的优化问题。 仿真结果表明，所提出的方案优于传统的固定天线系统，并验证了在位置不确定性下基于PSO的天线放置策略的有效性。 显示英文摘要

摘要： Pinching-antenna technology has lately showcased its promising capability for reconfiguring wireless propagation environments, especially in high-frequency communication systems like millimeter-wave and terahertz bands. By dynamically placing the antenna over a dielectric waveguide, line-of-sight (LoS) connections can be made to significantly improve system performance. Although recent research have illustrated the advantages of pinching-antenna-assisted designs, they mainly presuppose complete knowledge of user locations -- an impractical assumption in real-world systems. To address this issue, the robust resource allocation in a multi-user pinching antenna downlink system with uncertain user positions is investigated, aiming to minimize total transmit power while satisfying individual outage probability constraints. First, we address the single-user case, deriving the optimal pinching antenna position and obtaining the corresponding power allocation using a bisection method combined with geometric analysis. We then extend this solution to the multi-user case. In this case, we optimize the pinching antenna position using a particle swarm optimization (PSO) algorithm to handle the resulting non-convex and non-differentiable optimization problem. Simulation results demonstrate that the proposed scheme outperforms conventional fixed-antenna systems and validate the effectiveness of the PSO-based antenna placement strategy under location uncertainty.