Power Allocation for FAS-assisted Downlink Communication

Fluid antenna system (FAS) is a novel technology that can switch its radiating element to different locations within a predefined space. By exploiting the natural fading of the signal envelope, FAS can select the best channel without complicated signal processing. This paper studies a power allocation problem in a FAS-assisted multi-user downlink system, where each user is equipped with a fluid antenna while the base station (BS) has multiple fixed-position antennas (FPAs). We investigate the sum rate maximization problem under power constraint using the weighted minimum mean squared error (WMMSE) method. Simulation results show that the achieved sum rate of fluid antenna is much higher than that of FPA.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/mape62875.2024.10924461
Citations
1
Primary Topic
Wireless Communication Networks Research
Type
article
Field-Weighted Citation Impact
0.35
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Power Allocation for FAS-assisted Downlink Communication

Boyi Tang, Hao Xu, Wee Kiat New, Li You et al.
1 citations
Wireless Communication Networks Research
0.35
article

Power Allocation for FAS-assisted Downlink Communication

Boyi Tang, Hao Xu, Wee Kiat New, Li You, Kai-Kit Wong
article en
1 citations

Abstract

Fluid antenna system (FAS) is a novel technology that can switch its radiating element to different locations within a predefined space. By exploiting the natural fading of the signal envelope, FAS can select the best channel without complicated signal processing. This paper studies a power allocation problem in a FAS-assisted multi-user downlink system, where each user is equipped with a fluid antenna while the base station (BS) has multiple fixed-position antennas (FPAs). We investigate the sum rate maximization problem under power constraint using the weighted minimum mean squared error (WMMSE) method. Simulation results show that the achieved sum rate of fluid antenna is much higher than that of FPA.

University College London (GB), Southeast University (CN)
Openalex Percentile: Top 33%
Wireless Communication Networks Research
0.35
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