用于慢速流体天线多址接入的混合自动重传请求
HARQ for Slow Fluid Antenna Multiple Access
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中文总结 AI 辅助
研究用于慢速流体天线多址接入（sFAMA）的HARQ-sFAMA框架，用户在各HARQ轮次选端口并合并多轮信号提升解码可靠性，构建分析框架描述系统性能，数值结果显示该系统在多方面优于传统单跳sFAMA，为未来无线网络提供接入方案。
中文摘要 AI 辅助
流体天线系统（FAS）支持的慢速流体天线多址接入（sFAMA）是一种实用且低复杂度的大规模无线连接范例。现有研究仅关注其一跳传输的物理层性能，其与重传协议的交互及网络性能尚待探索。本文研究下行混合自动重传请求（HARQ）辅助的sFAMA框架（HARQ-sFAMA），用户在各HARQ轮次进行端口选择并合并多轮接收信号以提升解码可靠性。我们构建分析框架来描述该系统的中断概率、平均分组等待时间和能量效率。分析揭示了HARQ如何利用FAS的空间可重构性增强可靠性并改善排队性能。数值结果证实理论分析，表明HARQ-sFAMA系统在可靠性、延迟和能量效率方面显著优于传统单跳sFAMA。研究结果表明，HARQ与sFAMA的集成可为未来无线网络提供实用且符合标准的大规模接入解决方案。
英文摘要
Slow fluid antenna multiple access (sFAMA), enabled by the fluid antenna system (FAS), has recently emerged as a practical and low-complexity paradigm for supporting massive wireless connectivity. While existing studies have characterized its physical-layer performance under one-shot transmission, its interaction with retransmission protocols and the resulting networking performance remain largely unexplored. In this paper, we study a downlink hybrid automatic repeat request (HARQ)-assisted sFAMA framework, termed HARQ-sFAMA, in which each user performs distinguished port selection in every HARQ round and combines the received signals across multiple rounds to improve decoding reliability. We develop a comprehensive analytical framework to characterize the outage probability, average packet waiting time, and energy efficiency of the proposed system. The analysis reveals how HARQ exploits the spatial reconfigurability of FAS to simultaneously enhance reliability and improve queueing performance. Numerical results corroborate the theoretical analysis and demonstrate that the HARQ-sFAMA system significantly outperforms conventional one-shot sFAMA in terms of reliability, delay, and energy efficiency. These findings suggest that the integration of HARQ and sFAMA provides a promising pathway toward a practical and standards-compatible massive access solution for future wireless networks.
