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Finite Buffer Queuing Delay Performance in the Low Earth Orbit Land Mobile Satellite Channel

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Nestor J.Hernandez Marcano
  • ,
  • Luis Diez, Universidad de Cantabria
  • ,
  • Ramon Aguero, Universidad de Cantabria
  • ,
  • Rune Hylsberg Jacobsen

Low Earth Orbit (LEO) satellite constellations have been identified for new massive access networks, as a complement to traditional cellular ones, due to their native ubiquity. Despite being a feasible alternative, such networks still raise questions on their performance, in particular regarding the delay and queuing management under realistic channels. In this work, we study the queuing delay of a single satellite-to-ground link, considering a Land Mobile Satellite (LMS) channel in LEO with finite buffer lengths. We analyze the trade-off between delay and packet loss probability, using a novel model based on Markov chains, which we assess and extend with an extensive analysis carried out by means of system level simulation. The developed tools capture with accuracy the queuing delay statistical behavior in the S and Ka frequency bands, where LEO communications are planned to be deployed. Our results show that we can use short buffers to ensure less than 5-10% packet loss, with tolerable delays in such bands.

Original languageEnglish
Title of host publication2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication yearMay 2022
ISBN (Electronic)9781665442664
Publication statusPublished - May 2022
Event2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States
Duration: 10 Apr 202213 Apr 2022


Conference2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
LandUnited States
SeriesIEEE Wireless Communications and Networking Conference, WCNC

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

    Research areas

  • delay, LEO, LMS channel, loss probability, performance, queuing

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