• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2023, Vol. 45 ›› Issue (11): 1949-1959.

• 计算机网络与信息安全 • 上一篇    下一篇

卫星网络传输优化新机制研究进展

梁向斌,赵宝康,彭伟   

  1. (国防科技大学计算机学院,湖南 长沙 410073)
  • 收稿日期:2022-12-24 修回日期:2023-06-07 接受日期:2023-11-25 出版日期:2023-11-25 发布日期:2023-11-16
  • 基金资助:
    国家自然科学基金(61972412)

Recent progress of new technologies for satellite network transport protocol optimization

LIANG Xiang-bin,ZHAO Bao-kang,PENG Wei   

  1.  (College of Computer Science and Technology,National University of Defense Technology,Changsha 410073,China)
  • Received:2022-12-24 Revised:2023-06-07 Accepted:2023-11-25 Online:2023-11-25 Published:2023-11-16

摘要: 卫星网络因其覆盖范围广、通信带宽高、抗毁能力强、天然广播等特性受到学术界和工业界的广泛关注。但是,由于其链路存在传播时延长、误码率高、带宽不对称等特点,传统TCP协议在卫星网络中性能不佳。 近年来,随着以“星链”为代表的中低轨巨型星座迅猛发展和规模化部署应用,卫星网络表现出了高动态性的特点,这对卫星星座网络的高性能传输提出了严峻挑战,继而出现了一系列卫星网络传输协议优化的新技术。对近年来出现的卫星网络传输协议优化的新技术研究进展进行了总结,特别是对多路径传输、QUIC、智能传输优化等为代表的新技术进行了深入对比剖析。

关键词: 卫星网络, QUIC, 多路径传输, 性能增强代理, 容延容断网络 ,

Abstract: Satellite network has attracted extensive attention from academia and industry due to its characteristics of wide coverage, high bandwidth, strong survivability, natural broadcast and so on. However, due to the characteristics of long propagation delay, high bit error rate and asymmetric bandwidth, the traditional TCP protocol has poor performance in satellite network. In recent years, with the rapid development and large-scale deployment of the giant constellations represented by "Starlink", the satellite network has shown the characteristics of high dynamics, which poses a severe challenge to the high-performance transmission of satellite constellation network. This paper summarizes the research progress of new technologies for satellite network transport protocol optimization that have emerged in recent years. Especially, the new technologies represented by multi-path transmission, QUIC, intelligent transmission optimization are deeply compared and analyzed.

Key words: satellite network, QUIC, multipath transmission, performance enhancement proxies, delay/disruption tolerant network