Two-Timescale Antenna Positioning for Pinching-Antenna System Based on Statistical Channel Information
Abstract
This paper introduces a two-timescale antenna position optimization framework for the pinching-antenna system (PASS). The proposed framework exploits statistical channel state information (CSI) to determine large-timescale pinching-antenna (PA) positions over the entire waveguide, and utilizes instantaneous CSI to refine PA positions at the small timescale within a local region. This approach effectively captures the benefits of large-timescale PA positioning for long-term system performance and small-timescale PA movement for real-time adaptation to fast channel fluctuations. For the single-user case, we derive closed-form solutions for the optimal large-timescale PA positions, and further analyze a performance upper bound together with the conditions for achieving this bound, which guide the small-timescale position refinement. For the multi-user case, an upper bound on the minimum rate among all users is derived. To maximize their minimum rate, we develop an element-wise search algorithm for large-timescale PA positioning and a projected gradient ascent method for small-timescale position refinement. Simulation results show that the proposed scheme closely approaches the derived bounds and consistently outperforms conventional schemes by reducing path loss via large-timescale PA positioning and suppressing inter-user interference through small-timescale local movement.
Versions
Related
- S-PASS: Star-Topology Pinching-Antenna Systems with Pipelined Antenna Pre-Positioning
- Impact of Antenna Position Errors on TDMA and NOMA in Pinching-Antenna Systems
- Secrecy Sum-Rate Maximization for RSMA-Enabled Pinching-Antenna Systems
- Design and Analysis of Pinching-Antenna Systems With Radially Deployed Waveguides (X-PASS)
- AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems
BibTeX
@misc{ding2026twotimescale,
title = {{Two-Timescale Antenna Positioning for Pinching-Antenna System Based on Statistical Channel Information}},
author = {Jingze Ding and Zijian Zhou and Bingli Jiao and Rui Zhang},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.30670},
eprint = {2610.30670},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.30670},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Two-Timescale Antenna Positioning for Pinching-Antenna System Based on Statistical Channel Information
AU - Jingze Ding
AU - Zijian Zhou
AU - Bingli Jiao
AU - Rui Zhang
PY - 2026
DA - 2026/10/22
PB - arXiv
DO - 10.48550/arxiv.2610.30670
UR - https://arxiv.org/abs/2610.30670
AB - This paper introduces a two-timescale antenna position optimization framework for the pinching-antenna system (PASS). The proposed framework exploits statistical channel state information (CSI) to determine large-timescale pinching-antenna (PA) positions over the entire waveguide, and utilizes instantaneous CSI to refine PA positions at the small timescale within a local region. This approach effectively captures the benefits of large-timescale PA positioning for long-term system performance and small-timescale PA movement for real-time adaptation to fast channel fluctuations. For the single-user case, we derive closed-form solutions for the optimal large-timescale PA positions, and further analyze a performance upper bound together with the conditions for achieving this bound, which guide the small-timescale position refinement. For the multi-user case, an upper bound on the minimum rate among all users is derived. To maximize their minimum rate, we develop an element-wise search algorithm for large-timescale PA positioning and a projected gradient ascent method for small-timescale position refinement. Simulation results show that the proposed scheme closely approaches the derived bounds and consistently outperforms conventional schemes by reducing path loss via large-timescale PA positioning and suppressing inter-user interference through small-timescale local movement.
ER -