# Pinching-Antenna Systems (PASS) Aided Over-the-air Computation

arXiv: https://arxiv.org/abs/2505.07559 · HTML: https://mlsanity.com/paper/2505.07559/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 May 2025.

## Built on by (most cited first, 2 of 2)

- [Pinching Antennas Meet AI in Next-Generation Wireless Networks](https://mlsanity.com/paper/2511.07442/) (2025)
- [AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems](https://mlsanity.com/paper/2607.06768/) (2026)

## Abstract (arXiv)

Over-the-air computation (AirComp) enables fast data aggregation for edge intelligence applications. However the performance of AirComp can be severely degraded by channel misalignments. Pinching antenna systems (PASS) have recently emerged as a promising solution for physically reshaping favorable wireless channels to reduce misalignments and thus AirComp errors, via low-cost, fully passive, and highly reconfigurable antenna deployment. Motivated by these benefits, we propose a novel PASS-aided AirComp system that introduces new design degrees of freedom through flexible pinching antenna (PA) placement. To improve performance, we consider a mean squared error (MSE) minimization problem by jointly optimizing the PA position, transmit power, and decoding vector. To solve this highly non-convex problem, we propose an alternating optimization based framework with Gauss-Seidel based PA position updates. Simulation results show that our proposed joint PA position and communication design significantly outperforms various benchmark schemes in AirComp accuracy.