Resource Allocation for Low-Latency Communications in Slow Fluid Antenna Multiple Access Systems

The fluid antenna system (FAS) enhances wireless communication through dynamic adaptation to channel conditions. However, most existing studies focus on physical-layer metrics without considering link-layer low-latency quality-of-service (QoS) guarantees. This paper develops a cross-layer model to analyze the QoS performance in a slow fluid antenna multiple access (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$s$</tex>-FAMA) system using the effective capacity (EC) framework. We formulate and solve a joint port selection and power allocation problem to maximize total EC under total power and each user's minimum EC constraint. Simulation results demonstrate that our proposed algorithm significantly outperforms conventional uniform power allocation, highlighting the effectiveness of FAS in ensuring QoS.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174708
Citations
1
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
1.49
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article

Resource Allocation for Low-Latency Communications in Slow Fluid Antenna Multiple Access Systems

Yu Chen, Qimei Cui, Bowen Xu, Xiaofeng Tao
1 citations
Cooperative Communication and Network Coding
1.49
article

Resource Allocation for Low-Latency Communications in Slow Fluid Antenna Multiple Access Systems

Yu Chen, Qimei Cui, Bowen Xu, Xiaofeng Tao
article en
1 citations

Abstract

The fluid antenna system (FAS) enhances wireless communication through dynamic adaptation to channel conditions. However, most existing studies focus on physical-layer metrics without considering link-layer low-latency quality-of-service (QoS) guarantees. This paper develops a cross-layer model to analyze the QoS performance in a slow fluid antenna multiple access (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$s$</tex>-FAMA) system using the effective capacity (EC) framework. We formulate and solve a joint port selection and power allocation problem to maximize total EC under total power and each user's minimum EC constraint. Simulation results demonstrate that our proposed algorithm significantly outperforms conventional uniform power allocation, highlighting the effectiveness of FAS in ensuring QoS.

Beijing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 13%
Cooperative Communication and Network Coding
1.49
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Resource Allocation for Low-Latency Communications in Slow Fluid Antenna Multiple Access Systems — Yu Chen, Qimei Cui, et al. · (2025) | TGRS Research Map | TGRS