Efficient packet transmission over long-fat lossy links:research and development

LI Ye; SUN Jian; ZHANG Shibing

doi:10.11959/j.issn.1000-0801.2025040

您当前的位置：

首页 >

文章列表页 >

Efficient packet transmission over long-fat lossy links:research and development

Research and Development | 更新时间：2025-10-31

- Efficient packet transmission over long-fat lossy links:research and development
- Telecommunications Science Vol. 41, Issue 4, Pages: 132-142(2025)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61801248)
- DOI：10.11959/j.issn.1000-0801.2025040
  CLC： TN927.2
- Received：26 November 2024，
  
  Revised：2025-02-19，
  
  Published：20 April 2025
- 稿件说明：
移动端阅览
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

张更新 , 廖磊瑶 , 何元智 . 面向空天地海一体化的卫星通信关键技术研究 [J ] . 电信科学 , 2024 , 40 ( 6 ): 11 - 24 .

ZHANG G X , LIAO L Y , HE Y Z . Study on the key technologies of satellite communication for space-air-ground-sea integration [J ] . Telecommunications Science , 2024 , 40 ( 6 ): 11 - 24 .

JIANG D D , WANG F , LV Z H , et al . QoE-aware efficient content distribution scheme for satellite-terrestrial networks [J ] . IEEE Transactions on Mobile Computing , 2023 , 22 ( 1 ): 443 - 458 .

LOW S H , PAGANINI F , DOYLE J C . Internet congestion control [J ] . IEEE Control Systems Magazine , 2002 , 22 ( 1 ): 28 - 43 .

KACHOOEI M A , CHUNG J , LI F , et al . SEARCH: robust TCP slow start performance over satellite networks [C ] // Proceedings of the 2023 IEEE 48th Conference on Local Computer Networks (LCN) . Piscataway : IEEE Press , 2023 : 1 - 4 .

CAINI C , FIRRINCIELI R . TCP Hybla: a TCP enhancement for heterogeneous networks [J ] . International Journal of Satellite Communications and Networking , 2004 , 22 ( 5 ): 547 - 566 .

CARDWELL N , CHENG Y C , GUNN C , et al . BBR: congestion-based congestion control: measuring bottleneck bandwidth and round-trip propagation time [J ] . Communication of the ACM , 2017 , 60 ( 2 ): 58 - 66 .

WINSTEIN K , BALAKRISHNAN H . TCP ex machina: computer-generated congestion control [C ] // Proceedings of the ACM SIGCOMM 2013 conference on SIGCOM . New York : ACM Press , 2013 : 123 - 134 .

POLESE M , CHIARIOTTI F , BONETTO E , et al . A survey on recent advances in transport layer protocols [J ] . IEEE Communications Surveys & Tutorials , 2019 , 21 ( 4 ): 3584 - 3608 .

LYENGAR J , THOMSON M . OUIC: a UDP-based multiplexed and secure transport [M ] . Fremont : Internet Engineering Task Force , 2020 : 1 - 151 .

梁向斌 , 赵宝康 , 彭伟 . 卫星网络传输优化新机制研究进展 [J ] . 计算机工程与科学 , 2023 , 45 ( 11 ): 1949 - 1959 .

LIANG X B , ZHAO B K , PENG W . Recent progress of new technologies for satellite network transport protocol optimization [J ] . Computer Engineering & Science , 2023 , 45 ( 11 ): 1949 - 1959 .

BUJARI A , LUGLIO M , PALAZZI C E , et al . A virtual PEP for web optimization over a satellite-terrestrial backhaul [J ] . IEEE Communications Magazine , 2020 , 58 ( 10 ): 42 - 48 .

KARZAND M , LEITH D J , CLOUD J , et al . Design of FEC for low delay in 5G [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 8 ): 1783 - 1793 .

LI Y , ZHANG F F , WANG J , et al . On streaming coding for low-latency packet transmissions over highly lossy links [J ] . IEEE Communications Letters , 2020 , 24 ( 9 ): 1885 - 1889 .

COHEN A , MALAK D , BRACHA V B , et al . Adaptive causal network coding with feedback [J ] . IEEE Transactions on Communications , 2020 , 68 ( 7 ): 4325 - 4341 .

MICHEL F , CONINCK Q D , BONAVENTURE O . OUIC-FEC: bringing the benefits of forward erasure correction to QUIC [C ] // Proceedings of the 2019 IFIP Networking Conference (IFIP Networking) . Piscataway : IEEE Press , 2019 : 1 - 9 .

GARRIDO P , SANCHEZ L , FERLIN S , et al . rOUIC: integrating FEC with OUIC for robust wireless communications [C ] // Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM) . Piscataway : IEEE Press , 2019 : 1 - 7 .

SUTTON R S , BARTO A G . Reinforcement learning: an introduction [M ] . Cambridge MA : MIT Press , 1998 .

CLAYPOOL M , CHUNG J W . BBR’: an implementation of bottleneck bandwidth and round-trip time congestion control for ns-3 [C ] // Proceedings of the 2018 Workshop on Ns-3 . New York : ACM Press , 2018 : 1 - 8 .

BIASIO A D , CHIARIOTTI F , POLESE M , et al . A QUIC implementation for ns-3 [C ] // Proceedings of the 2019 Workshop on Ns-3 . New York : ACM Press , 2019 : 1 - 8 .

Views

619

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Large language model for cloud-network configuration audit and its application in IP network

Distributed reinforcement learning-based AUV 3D underwater current target tracking control algorithm

Research on key technologies of intelligent computing network for heterogeneous computing power interconnection

Multipath intelligent transmission strategy for UAM dynamic networks

Intelligent matching task offloading scheme in green computing power networks

Related Author

XIE Liqin

ZHU Wenhui

SHU Dong

DING Yu

ZHANG Zheng

LIN Wentong

QIN Qiqi

ZHAO Jiannan

Related Institution

China Telecom Co., Ltd. Jiangsu Branch

School of Electrical and Information Engineering, Tianjin University

Guangxi Engineering Research Center of Intelligent Vision and Collaborative Robotics

Guangxi Key Laboratory of ZHIYU Humanoid Robots

Engineering Research Center of Multi-Modal Information Intelligent Sensing, Processing and Application, Guangxi Universities

⁰