长胖丢包链路下的高效传输：一种基于流编码的UDP传输方案

李业; 孙剑; 张士兵

doi:10.11959/j.issn.1000-0801.2025040

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长胖丢包链路下的高效传输：一种基于流编码的UDP传输方案

研究与开发 | 更新时间：2025-10-31

- 长胖丢包链路下的高效传输：一种基于流编码的UDP传输方案
- Efficient packet transmission over long-fat lossy links:research and development
- 电信科学 2025年41卷第4期页码：132-142
- 作者机构：
  
  南通大学信息科学技术学院，江苏南通 226019
- 作者简介：
  
  [ "李业（1986- ），男，博士，南通大学信息科学技术学院副教授、博士生导师，主要研究方向为无线通信、前向纠错编码、网络编码等。" ]
  [ "孙剑（1999- ），男，南通大学信息科学技术学院硕士生，主要研究方向为无线通信、网络编码等。" ]
  [ "张士兵（1962- ），男，博士，南通大学信息科学技术学院教授、博士生导师，主要研究方向为宽带数字通信、智能信号处理、认知无线电等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61801248)
- DOI：10.11959/j.issn.1000-0801.2025040
  中图分类号： TN927.2
- 收稿：2024-11-26，
  
  修回：2025-02-19，
  
  纸质出版：2025-04-20
- 稿件说明：
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李业,孙剑,张士兵.长胖丢包链路下的高效传输：一种基于流编码的UDP传输方案[J].电信科学,2025,41(04):132-142.

LI Ye,SUN Jian,ZHANG Shibing.Efficient packet transmission over long-fat lossy links:[J].Telecommunications Science,2025,41(04):132-142.
李业,孙剑,张士兵.长胖丢包链路下的高效传输：一种基于流编码的UDP传输方案[J].电信科学,2025,41(04):132-142. DOI： 10.11959/j.issn.1000-0801.2025040.

LI Ye,SUN Jian,ZHANG Shibing.Efficient packet transmission over long-fat lossy links:[J].Telecommunications Science,2025,41(04):132-142. DOI： 10.11959/j.issn.1000-0801.2025040.

摘要

在未来的空天地一体化无线网络中，针对高带宽延迟积（即长胖网络）且存在丢包特性的链路，设计有效的数据传输方案至关重要。然而，过去数十年作为主流传输层协议的传输控制协议（transmission control protocol，TCP），在该场景下具有性能上的局限性。为此，提出了一种新的传输方案，该方案结合了用户数据报协议（user datagram protocol，UDP）和应用层前向纠错（forward erasure correction，FEC）编码技术中的流式编码，能够在完全不需要重传的情况下提供可靠的数据传输保障。此外，还引入了一种基于强化学习（reinforcement learning，RL）的方法，以实现拥塞控制与FEC修复传输的联合优化。通过一系列仿真实验，证明了所提方案在长胖网络环境中，尤其在面对丢包情况时，能够保持高效和平稳的吞吐量。这也为TCP性能增强代理（performance-enhancing proxy，PEP）的应用提供了新思路。最后，还展望了一些未来的研究方向。

Abstract

Designing efficient packet transmission over lossy links with a large bandwidth-delay product (i.e.

long-fat) is important in the next-generation wireless networks

which are envisioned to be of a space-air-ground integrated scale. Transmission control protocol (TCP)

the dominant transport layer protocol in the past decades

is known to have had performance issues in such links. A new transport approach was proposed using user datagram protocol (UDP) along with an application-layer forward erasure correction (FEC) code called streaming code to provide retransmission-free reliability. A novel approach based on reinforcement learning (RL) was proposed to jointly perform congestion control and FEC repair transmissions. Proof-of-concept simulations demonstrate that the approach can achieve high and smooth goodput in long-fat lossy links

which can be attractive for performance-enhancing proxy (PEP). It also highlights several future research directions that can be exploited based on the proposed approach.

关键词

Keywords

references

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