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An AQM algorithm for LEO satellite network

  • Yunfei Ma*
  • , Tao Zhang
  • , Jun Zhang
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Because of the uneven distribution of the ground users and the LEO satellite movement, the rate of the LEO satellite network changes dramatically. And this will make the queue with limited buffer suffer from a large range of queue size oscillations, which would lead to high packet loss, low throughput etc. This paper proposes a rate-based stabilized BLUE algorithm. This algorithm uses the change of the average queue length to adjust the amount by which the mark (or drop) probability is changed; moreover it adjusts the queue weight, which is used to estimate the average queue length, based on the rate. Simulation results show that this algorithm could maintain higher throughput than BLUE algorithm as the rate of LEO satellite network changing dramatically.

Original languageEnglish
Title of host publicationProceedings - 2011 4th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2011
Pages615-618
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 4th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2011 - Beijing, China
Duration: 1 Nov 20113 Nov 2011

Publication series

NameProceedings - 2011 4th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2011

Conference

Conference2011 4th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2011
Country/TerritoryChina
CityBeijing
Period1/11/113/11/11

Keywords

  • Active Queue Management (AQM)
  • BLUE algorithm
  • LEO satellite network
  • congestion control

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