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Channel Estimation for mmWave Pinching-Antenna Systems

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arxiv 2504.09317 v1 pith:YAR4HVLC submitted 2025-04-12 eess.SP

classification eess.SP
keywords antennasestimationchannelpinchingaccurateeffectivelymmwavenumber
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The full potential of pinching-antenna systems (PAS) can be unblocked if pinching antennas can be accurately activated at positions tailored for the serving users', which means that acquiring accurate channel state information (CSI) at arbitrary positions along the waveguide is essential for the precise placement of antennas. In this work, we propose an innovative channel estimation scheme for millimeter-wave (mmWave) PAS. The proposed approach requires activating only a small number of pinching antennas, thereby limiting antenna switching and pilot overhead. Specifically, a base station (BS) equipped with a waveguide selectively activates subarrays located near and far from the feed point, each comprising a small number of pinching antennas. This configuration effectively emulates a large-aperture array, enabling high-accuracy estimation of multipath propagation parameters, including angles, delays, and path gains. Simulation results demonstrate that the proposed method achieves accurate CSI estimation and data rates while effectively reducing hardware switching and pilot overhead.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Pinching-Antenna Systems with In-Waveguide Attenuation: Performance Analysis and Algorithm Design

    eess.SP 2025-06 reject novelty 5.0 of 10

    Pinching-antenna placement must trade free-space path loss against exponential in-waveguide attenuation; the paper gives a closed-form single-user solution and a rate-loss approximation, then extends to multi-user bea...

  2. Exploiting Pinching-Antenna Systems in Multicast Communications

    eess.SP 2025-05 conditional novelty 5.0 of 10

    Optimizing pinching-antenna positions along dielectric waveguides improves multicast rates, with closed-form results for a single antenna and iterative algorithms for multiple antennas or waveguides.

  3. A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems

    cs.IR 2025-06 conditional novelty 4.0 of 10

    A gradient meta-learning algorithm with two unrolled neural networks jointly optimizes beamforming and pinching-antenna positions, reporting 5.6 bits/s/Hz weighted sum rate and a 32.7% gain over alternating optimizati...

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