Over-the-Air Computation via Segmented Waveguide-Enabled Pinching-Antenna Systems

TL;DR

This paper introduces a novel segmented waveguide-enabled pinching-antenna system (SWAN) for over-the-air computation, optimizing signal aggregation with new architectures and algorithms, outperforming traditional systems.

Contribution

The paper proposes three new transmission architectures and low-complexity algorithms for SWAN, enhancing uplink signal aggregation and reducing error compared to conventional systems.

Findings

SWAN architectures outperform PASS in mean-squared error.

Segment-wise phase control improves SA performance.

Numerical results validate the effectiveness of the proposed methods.

Abstract

A segmented waveguide-enabled pinching-antenna system (SWAN)-assisted over-the-air computation (AirComp) framework is proposed. Three transmission architectures, namely segment selection (SS), phase-shifter-free segment aggregation (SA), and phase-shifter-enabled SA, are developed for uplink signal aggregation. For each architecture, low-complexity algorithms are developed to optimize the pinching-antenna placement and the per-segment phase shifts. Numerical results demonstrate the effectiveness of the proposed approaches and the superiority of SWAN over the conventional pinching-antenna system (PASS). It is shown that both SS and SA achieve lower computation mean-squared error than the conventional PASS, while segment-wise phase control further improves the performance of SA.