HARQ-CC-Aided Slow Fluid Antenna Multiple Access with Highly Correlated Ports: An LST-Based Performance Analysis

📅 2026-08-25
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文针对密集且高度相关的流天线系统,通过HARQ-CC辅助的sFAMA方法,利用LST分析技术,提升了多轮传输性能并降低了计算复杂度。
📝 Abstract
Hybrid automatic repeat request with chase combining (HARQ-CC) improves the reliability of slow fluid antenna multiple access (sFAMA) through multi-round combining. However, existing analysis has not fully utilized the structure of densely spaced and highly correlated fluid antenna system (FAS) ports to derive tractable per-round characterizations, thereby maintaining a computationally intensive process. This paper re-investigates downlink HARQ-CC-aided sFAMA with densely-spaced and highly-correlated FAS configuration. Under a spatial block correlation model, we first formulate two validity-corrected high-correlation approximations for the per-round selected-port signal-to-interference ratio (SIR) distribution and its Laplace--Stieltjes transform (LST): a Marcum-Q-kernel route and a lower-complexity step-threshold route. Closed-form expressions are also obtained for block-representative antenna selection (BR-AS) and fixed-position antenna (FPA). Then, the per-round characteristics are used to evaluate the multi-round accumulated-SIR distribution through SIR-domain Stieltjes convolution and numerical LST inversion, yielding the outage probability, average number of transmissions, and payload throughput. Numerical results show close agreement between the two evaluation methods. The analytical FAS results are conservative relative to simulation but preserve the performance trends and receiver ordering. The FAS receiver consistently outperforms the benchmarks, while the payload-throughput gain from increasing the HARQ transmission limit becomes marginal under severe multiuser interference.
Problem

Research questions and friction points this paper is trying to address.

HARQ-CC
sFAMA
FAS
Highly-Correlated Ports
Performance Analysis
Innovation

Methods, ideas, or system contributions that make the work stand out.

High-Correlation Approximations
Laplace--Stieltjes Transform (LST)
Block-Representative Antenna Selection (BR-AS)
Fixed-Position Antenna (FPA)
Stieltjes Convolution
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Sixu Han
Department of Electronic and Electrical Engineering, University College London, London, United Kingdom
K
Kai-Kit Wong
Department of Electronic and Electrical Engineering, University College London, London, United Kingdom; also affiliated with Department of Electronic Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do 17104, Korea
Hanjiang Hong
Hanjiang Hong
University College London