Hardware-Impaired Over-the-Air Computation with Fluid Antenna Array
Zilong Li, Jianxin Dai, Zhaohui Yang, Zhaoyang Zhang, Kai-Kit Wong, Zhiyang Li, Shunkuan Cheng

TL;DR
This paper proposes a joint optimization framework for fluid antenna array-enhanced over-the-air computation systems that accounts for hardware impairments, leading to significant MSE reduction and improved robustness.
Contribution
It introduces a novel joint design of transceiver and antenna positioning for FA-based AirComp systems considering hardware impairments, with efficient algorithms and proven performance gains.
Findings
Significant MSE reduction compared to fixed-position arrays.
Enhanced robustness against hardware impairments.
Validated convergence and effectiveness of the proposed algorithm.
Abstract
This paper investigates a fluid antenna (FA) array-enhanced over-the-air computation (AirComp) system in the presence of hardware impairments (HWIs), exploiting the new degrees of freedom offered by reconfigurable antenna positioning. To minimize the mean squared error (MSE) of the aggregated signal, we jointly optimize transmit power control, receive beamforming, and the antenna position vector (APV), subject to practical constraints such as HWI-induced distortion noise, FA movement energy consumption, and total power budgets. The resulting optimization problem is non-convex and highly coupled. To address it efficiently, we adopt a block coordinate descent (BCD) framework, decomposing it into three manageable subproblems. For each subproblem, closed-form solutions or efficient numerical algorithms are derived. Simulation results demonstrate that the proposed joint transceiver and APV…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Antenna Design and Optimization · Advanced Wireless Communication Techniques
