Performance Analysis of Fluid Antenna-Assisted Over-the-Air Federated Learning Under Spatially Correlated Fading
Mohsen Ahmadzadeh, Saeid Pakravan, Wessam Ajib, Ming Zeng, Ghosheh Abed Hodtani, and Ji Wang

TL;DR
This paper analyzes how fluid antenna technology can enhance over-the-air federated learning by improving reliability and user participation through dynamic antenna positioning in correlated fading channels.
Contribution
It develops a tractable analytical framework for performance characterization of FA-assisted OTA-FL, including closed-form outage probability and user participation metrics.
Findings
FA-assisted OTA-FL outperforms fixed-antenna schemes in reliability.
Spatial correlation impacts the effectiveness of fluid antennas.
Analytical expressions match numerical simulations, validating the model.
Abstract
Fluid antenna (FA) technology has recently emerged as an effective means of exploiting spatial diversity through position-domain reconfigurability. This paper investigates the integration of FA into over-the-air federated learning (OTA-FL) systems with the aim of improving aggregation reliability and user participation under realistic channel conditions. By dynamically selecting antenna positions, FA-equipped users can exploit additional spatial degrees of freedom to realize more favorable channel conditions, thereby increasing the probability of successful contribution to the OTA aggregation process in each communication round. We consider an uplink OTA-FL framework consisting of a single fixed-antenna access point and multiple FA-enabled users operating over spatially correlated fading channels. Unlike existing studies that primarily rely on optimization-based designs or numerical…
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