Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems

📅 2026-02-15
📈 Citations: 0
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🤖 AI Summary
This work addresses the high energy consumption of conventional MIMO servers in over-the-air federated learning (OTA-FL) by introducing, for the first time, a tunable Pinching Antenna System (PASS) to replace power-hungry fully digital MIMO architectures. By jointly optimizing PASS parameters, device scheduling, and over-the-air computation, the proposed approach leverages PASS’s unique capabilities—namely, diffraction-based propagation and compensation of large-scale fading—to significantly reduce the energy required for model aggregation. Under a single-waveguide PASS deployment, the scheme achieves substantial improvements in energy efficiency compared to traditional MIMO systems, thereby demonstrating the feasibility and advantages of PASS for enabling low-complexity, low-power OTA-FL.

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📝 Abstract
Pinching antennas systems (PASSs) have recently been proposed as a novel flexible-antenna technology. These systems are implemented by attaching low-cost pinching elements to dielectric waveguides. As the direct link is bypassed through waveguides, PASSs can effectively compensate large-scale effects of the wireless channel. This work explores the potential gains of employing PASSs for over-the-air federated learning (OTA-FL). For a PASS-assisted server, we develop a low-complexity algorithmic approach, which jointly tunes the PASS parameters and schedules the mobile devices for minimal energy consumption in OTA-FL. We study the efficiency of the proposed design and compare it against the conventional OTA-FL setting with MIMO server. Numerical experiments demonstrate that using a single-waveguide PASS at the server within a moderately sized area, the required energy for model aggregation is drastically reduced as compared to the case with fully-digital MIMO server. This introduces PASS as a potential technology for energy-efficient distributed learning in next generations of wireless systems.
Problem

Research questions and friction points this paper is trying to address.

Energy-Efficient
Over-the-Air Federated Learning
Pinching Antenna Systems
Model Aggregation
Wireless Communication
Innovation

Methods, ideas, or system contributions that make the work stand out.

Pinching Antenna Systems
Over-the-Air Federated Learning
Energy Efficiency
Waveguide-based Antennas
Low-complexity Optimization
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