Hybrid Codebook Design for Localization Using Electromagnetically Reconfigurable Fluid Antenna System
Journal article, 2026

Electromagnetically reconfigurable fluid antenna system (ER-FAS) introduces additional degrees of freedom in the electromagnetic (EM) domain by dynamically steering per-antenna radiation patterns, thereby enhancing power efficiency in wireless links. Unlike prior works on spatially reconfigurable FAS, which adjust element positions, ER-FAS provides direct control over each element's EM characteristics to realize on-demand beam-pattern shaping. While existing studies have exploited ER-FAS to boost spectral efficiency, this paper explores its application for downlink localization. We consider a multiple-input single-output (MISO) system in which a multi-antenna ER-FAS at the base station serves a single-antenna user equipment (UE). We consider two reconfigurability paradigms: (i) a synthesis model where each antenna generates desired beampatterns from a finite set of EM basis functions, and (ii) a finite-state selection model in which each antenna selects a pattern from a predefined set of patterns. For both paradigms, we formulate the joint baseband (BB) and EM precoder design to minimize the UE position error bound. In the synthesis case we derive low-dimensional closed-form expressions for both the BB and EM precoders. For the finite-state model we obtain closed-form BB structures and propose a low-complexity block-coordinate-descent algorithm for EM pattern selection. Analytical bounds and extensive simulations show that the proposed hybrid designs for ER-FAS substantially improve UE positioning accuracy over traditional non-reconfigurable arrays.

beampattern

reconfigurable antennas

radiation pattern

localization

Fluid antenna system

beamforming

Author

Alireza Fadakar

University of Southern California

Yuchen Zhang

King Abdullah University of Science and Technology (KAUST)

Hui Chen

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Musa Furkan Keskin

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Henk Wymeersch

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Andreas F. Molisch

University of Southern California

IEEE Journal on Selected Topics in Signal Processing

1932-4553 (ISSN) 19410484 (eISSN)

1-16

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Swedish Research Council (VR) (2024-04390), 2025-01-01 -- 2028-12-31.

Subject Categories (SSIF 2025)

Signal Processing

DOI

10.1109/JSTSP.2026.3673038

More information

Latest update

3/16/2026