Finite-Aperture Fluid Antenna Array Design: Analysis and Algorithm

Fuente: arXiv
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Auteurs principaux: Zhang, Zhentian, Wong, Kai-Kit, Jiang, Hao, Ghadi, Farshad Rostami, Shin, Hyundong, Zhang, Yangyang
Format: Preprint
Publié: 2026
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author Zhang, Zhentian
Wong, Kai-Kit
Jiang, Hao
Ghadi, Farshad Rostami
Shin, Hyundong
Zhang, Yangyang
author_facet Zhang, Zhentian
Wong, Kai-Kit
Jiang, Hao
Ghadi, Farshad Rostami
Shin, Hyundong
Zhang, Yangyang
contents Finite-aperture constraints render array design nontrivial and can undermine the effectiveness of classical sparse geometries. This letter provides universal guidance for fluid antenna array (FAA) design under a fixed aperture. We derive a closed-form Cramér--Rao bound (CRB) that unifies conventional and reconfigurable arrays by explicitly linking the Fisher information to the geometric variance of port locations. We further obtain a closed-form probability density function of the minimum spacing under random FAA placement, which yields a principled lower bound for the minimum-spacing constraint. Building upon these analytical insights, we then propose a gradient-based algorithm to optimize continuous port locations. Utilizing a simple gradient update design, the optimized FAA can achieve about a $30\%$ CRB reduction and a $42.5\%$ reduction in mean-squared error.
format Preprint
id arxiv_https___arxiv_org_abs_2601_18471
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Finite-Aperture Fluid Antenna Array Design: Analysis and Algorithm
Zhang, Zhentian
Wong, Kai-Kit
Jiang, Hao
Ghadi, Farshad Rostami
Shin, Hyundong
Zhang, Yangyang
Information Theory
Finite-aperture constraints render array design nontrivial and can undermine the effectiveness of classical sparse geometries. This letter provides universal guidance for fluid antenna array (FAA) design under a fixed aperture. We derive a closed-form Cramér--Rao bound (CRB) that unifies conventional and reconfigurable arrays by explicitly linking the Fisher information to the geometric variance of port locations. We further obtain a closed-form probability density function of the minimum spacing under random FAA placement, which yields a principled lower bound for the minimum-spacing constraint. Building upon these analytical insights, we then propose a gradient-based algorithm to optimize continuous port locations. Utilizing a simple gradient update design, the optimized FAA can achieve about a $30\%$ CRB reduction and a $42.5\%$ reduction in mean-squared error.
title Finite-Aperture Fluid Antenna Array Design: Analysis and Algorithm
topic Information Theory
url https://arxiv.org/abs/2601.18471