AI 中文总结
研究在车载蜂窝环境中MPQUIC数据报易丢包问题,提出复用QUIC丢包检测信号和RS编码库的自适应FEC方案,经车载现场实验评估,该方案在商用LTE/5G路径上提升了MPQUIC数据报的可靠性与延迟。
AI 中文摘要
多路径传输长期以来一直被研究以提高在异构网络中的鲁棒性,多路径QUIC(MPQUIC)对低延迟应用特别有吸引力,因为QUIC数据报无需重传即可传输。但这一优势有个关键缺点:QUIC数据报易受丢包影响,尤其在有切换和快速变化无线条件的车载蜂窝环境中。虽然先前研究探索了自适应前向纠错(FEC)和编码多路径设计,但当这些机制需要对传输栈或调度器进行大量修改时,实际部署仍具挑战性。本文提出一种用于MPQUIC数据报的自适应FEC方案,它复用QUIC丢包检测信号和现成的里德 - 所罗门(RS)编码库。发送方根据QUIC丢包信号估计每条路径的平滑丢包率,并根据预期丢包自适应确定每个FEC块的奇偶校验包数量。我们在现有MPQUIC栈上实现该方案,并通过在三条商用LTE/5G路径上的车载现场实验进行评估。在主要4.0Mbps设置下,与无FEC相比,该方案提高了可靠性和延迟:平均单向延迟从103.0毫秒降至70.8毫秒,第95百分位延迟从281.2毫秒降至142.3毫秒,丢包率从1.7%降至0.8%,平均编码率为0.94。这些结果表明,与调度器无关的自适应FEC可为MPQUIC数据报在实测车载移动条件下提供实际的延迟和可靠性提升。
英文摘要
Multipath transport has long been studied to improve robustness over heterogeneous networks, and Multipath QUIC (MPQUIC) is particularly attractive for low-latency applications because QUIC Datagram enables transmission without retransmissions. However, this advantage comes with a key drawback: QUIC Datagram is vulnerable to packet loss, especially in vehicular cellular environments with handovers and rapidly varying radio conditions. While prior studies have explored adaptive-FEC and coded multipath designs, practical deployment remains challenging when such mechanisms require substantial modifications to the transport stack or scheduler. In this paper, we present an adaptive Forward Error Correction (FEC) scheme for MPQUIC Datagram that reuses QUIC loss detection signals and an off-the-shelf Reed-Solomon (RS) coding library. The sender estimates smoothed per-path loss rates from QUIC loss signals and adaptively determines the number of parity packets for each FEC block according to the expected packet loss. We implement the proposed scheme on an existing MPQUIC stack and evaluate it through vehicular field experiments over three commercial LTE/5G paths. Under the main 4.0 Mbps setting, the proposed scheme improves both reliability and latency compared with No-FEC: the average one-way delay is reduced from 103.0 ms to 70.8 ms, the 95th-percentile delay from 281.2 ms to 142.3 ms, and the packet loss rate from 1.7 % to 0.8 %, with an average coding rate of 0.94. These results indicate that scheduler-agnostic adaptive-FEC can provide practical latency and reliability gains for MPQUIC Datagram under the measured vehicular mobile conditions.
CommentsAccepted in IEEE VTC2026-Fall