Regional Resilient Routing Algorithm for LEO Satellite Network

  • Hongjing Tang
  • , Qi Zhang*
  • , Yuanfeng Li
  • , Xiangjun Xi
  • , Weiying Feng
  • , Wensheng Yu
  • , Furong Chai
  • , Meng Sun
  • , Fu Wang
  • , Feng Tian
  • , Yongjun Wang
  • , Qinghua Tian
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A hierarchical deep reinforcement learning-based regional resilient satellite routing algorithm is proposed. The simulation result shows the proposed method improves the communication success rate of the network in the event of regional damage.

Original languageEnglish
Title of host publication2024 22nd International Conference on Optical Communications and Networks, ICOCN 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350367652
DOIs
StatePublished - 2024
Event22nd International Conference on Optical Communications and Networks, ICOCN 2024 - Harbin, China
Duration: 26 Jul 202429 Jul 2024

Publication series

Name2024 22nd International Conference on Optical Communications and Networks, ICOCN 2024

Conference

Conference22nd International Conference on Optical Communications and Networks, ICOCN 2024
Country/TerritoryChina
CityHarbin
Period26/07/2429/07/24

Keywords

  • HDRL
  • LEO satellite networks
  • satellite routing

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