FullPASS: Geometry Optimization for Full-Duplex Pinching-Antenna Systems

2026-07-21

AI Summary

This work addresses the joint challenge of self-interference suppression and bidirectional spectral efficiency optimization in in-band full-duplex Pinching antenna systems by proposing the FullPASS architecture, which enables concurrent uplink and downlink transmission via dual parallel waveguides. A novel geometric channel model is formulated for the first time, integrating free-space propagation, intra-waveguide phase and attenuation, and upstream element coupling effects. To solve the resulting non-convex combinatorial optimization problem, a two-stage efficient algorithm is developed: the first stage employs phase-anchored second-order cone relaxation with deterministic rounding, while the second stage introduces an alternating local search based on the full propagation model, supporting add, delete, and swap operations. Evaluated on 13×13 and 15×15 candidate grids, the proposed method achieves average bidirectional spectral efficiency within only 0.95% of the exhaustive solution while reducing runtime by over an order of magnitude at the 15×15 scale, significantly enhancing scalability.

Abstract

This paper proposes FullPASS, an in-band full-duplex architecture for pinching-antenna systems (PASSs) based on two parallel waveguides. The FullPASS transceiver simultaneously communicates with a single full-duplex user terminal over the same time-frequency resource: the transmit waveguide delivers the downlink signal, while the receive waveguide collects the uplink signal. Candidate pinching elements are placed along both waveguides, and the FullPASS transceiver jointly selects the active transmit and receive elements. We derive a geometry-based channel model for the downlink, uplink, and transmit-to-receive self-interference paths, including free-space propagation, in-waveguide propagation phase and attenuation, and the attenuation caused by upstream activated elements along each waveguide. The joint activation problem is formulated as a binary optimization that maximizes the bidirectional sum spectral efficiency while keeping the self-interference leakage at the FullPASS receiver below a prescribed threshold. To solve the resulting nonconvex combinatorial problem, we develop a two-stage algorithm. The first stage uses phase-anchored second-order-cone relaxations and deterministic rounding to generate binary trial activation patterns under a simplified propagation model. The second stage applies alternating best-improvement local search with add, remove, and swap operations evaluated under the full propagation model. Simulations show that the proposed method achieves an average sum spectral efficiency within 0.95% of exhaustive search on both the 13-by-13 and 15-by-15 candidate grids. On the 15-by-15 grid, it reduces the average runtime by more than one order of magnitude relative to exhaustive search and remains applicable to substantially larger candidate sets.

Problem

• full-duplex
• pinching-antenna systems
• geometry optimization
• self-interference
• spectral efficiency

Innovation

• full-duplex
• pinching-antenna system
• geometry-based channel modeling
• binary optimization
• self-interference suppression