Fluid Antenna-Assisted ISAC Systems

This letter proposes a fluid antenna-assisted integrated sensing and communication (ISAC) system, where a base station (BS) transmits signals to a communication user (CU) while sensing a target. Unlike traditional ISAC systems with fixed-position antennas (FPAs), fluid antennas are equipped at the BS and CU, and can be dynamically adjusted within a given area. Our objective is to jointly optimize the transmit beamforming and the locations of fluid antennas at the BS and CU to maximize the downlink communication rate while ensuring the requirements of the sensing beampattern gain and transmit power of the BS. Due to the non-convex nature of the original problem and the high coupling between variables, we employ an alternating optimization (AO) algorithm, dividing it into three subproblems and transforming them into convex ones for solution. Simulation results confirm that our proposed system significantly improves the performance of ISAC systems compared to benchmarks.

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Institutions

Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-10-08
DOI
https://doi.org/10.1109/lwc.2024.3476148
Citations
61
Primary Topic
Bluetooth and Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
21.28

Funders

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article

Fluid Antenna-Assisted ISAC Systems

Kai‐Kit Wong, Ming Jin, Junteng Yao, Tuo Wu et al.
61 citations
IEEE Wireless Communications Letters
Bluetooth and Wireless Communication Technologies
21.28
article

Fluid Antenna-Assisted ISAC Systems

Kai‐Kit Wong, Ming Jin, Junteng Yao, Tuo Wu, Liaoshi Zhou
article en
61 citations

Abstract

This letter proposes a fluid antenna-assisted integrated sensing and communication (ISAC) system, where a base station (BS) transmits signals to a communication user (CU) while sensing a target. Unlike traditional ISAC systems with fixed-position antennas (FPAs), fluid antennas are equipped at the BS and CU, and can be dynamically adjusted within a given area. Our objective is to jointly optimize the transmit beamforming and the locations of fluid antennas at the BS and CU to maximize the downlink communication rate while ensuring the requirements of the sensing beampattern gain and transmit power of the BS. Due to the non-convex nature of the original problem and the high coupling between variables, we employ an alternating optimization (AO) algorithm, dividing it into three subproblems and transforming them into convex ones for solution. Simulation results confirm that our proposed system significantly improves the performance of ISAC systems compared to benchmarks.

IEEE Wireless Communications LettersVol. 13(12)
Ningbo University (CN), Queen Mary University of London (GB), University College London (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 0%
Bluetooth and Wireless Communication Technologies
21.28
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