arXiv:2512.06889cs.NIcs.RO2025-12

为无人机远距通信设计高可靠低延迟的全新架构

AQUILA: A QUIC-Based Link Architecture for Resilient Long-Range UAV Communication

  • 基于QUIC构建统一传输层,分离控制与视频流
  • 控制指令延迟受视频流量影响小,保障实时响应
  • 适配无人机飞行特性的拥塞控制算法,支持快速切换

自主无人机在超视距(BVLOS)应用中的发展严重依赖于稳定、高带宽、低延迟的通信链路。现有方案存在明显局限:TCP因队头阻塞导致时敏数据停滞,UDP缺乏可靠性与拥塞控制,而专为地面用户设计的蜂窝网络对空中平台性能显著下降。本文提出AQUILA,一种基于QUIC的跨层通信架构,解决上述问题。其核心创新包括:(1) 使用QUIC的可靠流传输MAVLink命令与控制(C2),用不可靠数据报传输视频,实现统一拥塞控制下无队头阻塞;(2) 引入优先级调度机制,确保C2延迟有界且不受视频流量影响;(3) 提出面向无人机的拥塞控制算法,扩展SCReAM,加入高度自适应延迟目标与遥测预留带宽。AQUILA还实现0-RTT连接恢复,减少切换黑窗,并通过应用层重放保护增强鲁棒性,部署于IP原生架构,支持全球运行。实验表明,在真实条件下,AQUILA显著优于基于TCP和UDP的方案,在控制延迟、视频质量与链路韧性方面表现更优,为自主超视距任务提供坚实基础。

原文摘要 · Abstract (English)

The proliferation of autonomous Unmanned Aerial Vehicles (UAVs) in Beyond Visual Line of Sight (BVLOS) applications is critically dependent on resilient, high-bandwidth, and low-latency communication links. Existing solutions face critical limitations: TCP's head-of-line blocking stalls time-sensitive data, UDP lacks reliability and congestion control, and cellular networks designed for terrestrial users degrade severely for aerial platforms. This paper introduces AQUILA, a cross-layer communication architecture built on QUIC to address these challenges. AQUILA contributes three key innovations: (1) a unified transport layer using QUIC's reliable streams for MAVLink Command and Control (C2) and unreliable datagrams for video, eliminating head-of-line blocking under unified congestion control; (2) a priority scheduling mechanism that structurally ensures C2 latency remains bounded and independent of video traffic intensity; (3) a UAV-adapted congestion control algorithm extending SCReAM with altitude-adaptive delay targeting and telemetry headroom reservation. AQUILA further implements 0-RTT connection resumption to minimize handover blackouts with application-layer replay protection, deployed over an IP-native architecture enabling global operation. Experimental validation demonstrates that AQUILA significantly outperforms TCP- and UDP-based approaches in C2 latency, video quality, and link resilience under realistic conditions, providing a robust foundation for autonomous BVLOS missions.

无人机通信QUIC低延迟拥塞控制

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