Pinching-Antenna System Design under Random LoS and NLoS Channels
Yanqing Xu, Yang Lu, Zhiguo Ding, and Tsung-Hui Chang

TL;DR
This paper develops optimization algorithms for pinching-antenna systems operating in realistic stochastic LoS and NLoS wireless channels, enhancing performance and reliability over traditional fixed-antenna setups.
Contribution
It introduces a probabilistic channel model for pinching antennas and proposes globally optimal, low-complexity algorithms for maximizing SNR metrics under realistic conditions.
Findings
Pinching antennas outperform fixed antennas in stochastic channels.
Proposed algorithms achieve globally optimal solutions efficiently.
Simulation results validate the effectiveness of the methods.
Abstract
Pinching antennas, realized through position-adjustable radiating elements along dielectric waveguides, have emerged as a promising flexible-antenna technology thanks to their ability to dynamically reshape large-scale channel conditions. However, most existing studies focus on idealized LoS-dominated environments, overlooking the stochastic nature of realistic wireless propagation. This paper investigates a more practical multiuser pinching-antenna system under a composite probabilistic channel model that captures distance-dependent LoS blockage and NLoS scattering. To account for both efficiency and reliability aspects of communication, two complementary design metrics are considered: an average signal-to-noise ratio (SNR) metric characterizing long-term throughput and fairness, and an outage-constrained metric ensuring a prescribed reliability level. Based on these metrics, we…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Millimeter-Wave Propagation and Modeling · Mobile Ad Hoc Networks
