Pinching Antennas in Blockage-Aware Environments: Modeling, Design, and Optimization
Ximing Xie, Fang Fang, Zhiguo Ding, Xianbin Wang

TL;DR
This paper develops a deterministic model and optimization algorithms for pinching-antenna systems in obstacle-rich environments, enhancing LoS connectivity and system throughput by leveraging obstacles rather than being hindered by them.
Contribution
It introduces a novel deterministic obstacle model and joint optimization framework for pinching-antenna systems in practical indoor environments, addressing blockage issues.
Findings
Significant throughput improvements over benchmarks.
Enhanced LoS connectivity in obstacle-rich scenarios.
Obstacles can be exploited to reduce interference.
Abstract
Pinching-antenna (PA) systems have recently emerged as a promising member of the flexible-antenna family due to their ability to dynamically establish line-of-sight (LoS) links. While most existing studies assume ideal environments without obstacles, practical indoor deployments are often obstacle-rich, where LoS blockage significantly degrades performance. This paper investigates pinching-antenna systems in blockage-aware environments by developing a deterministic model for cylinder-shaped obstacles that precisely characterizes LoS conditions without relying on stochastic approximations. Based on this model, a special case is first studied where each PA serves a single user and can only be deployed at discrete positions along the waveguide. In this case, the waveguide-user assignment is obtained via the Hungarian algorithm, and PA positions are refined using a surrogate-assisted…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Indoor and Outdoor Localization Technologies
