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Low-frequent feedback adaptive transmission based on satellite trajectory prediction

  • Hongxiu Bian
  • , Rongke Liu
  • , Ruifeng Duan
  • , You Zhou
  • , Zhiyuan Li
  • Beihang University

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

Abstract

In this paper, we propose a low-frequent feedback adaptive transmission strategy in low-earth-orbit (LEO) satellite adaptive transmission system based on that the satellite trajectory can be predicted. In this adaptive transmission system, we adopt rateless Spinal Codes as physical layer coding and modulation method. We use finite sets of feedback data to predict and revise the signal-to-noise ratio (SNR) in real time to adjust the number of transmitted symbols of Spinal Codes during a communication window. The feedback times can be reduced to almost 1/300 of the Digital Video Broadcasting (DVB-S2) which sends the feedback information every 2 seconds. Our simulation results show the maximum reduction of throughput doesn't exceed 0.4% while more feedback resources are reserved.

Original languageEnglish
Title of host publication2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1823-1827
Number of pages5
ISBN (Electronic)9781467390262
DOIs
StatePublished - 10 May 2017
Event2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Chengdu, China
Duration: 14 Oct 201617 Oct 2016

Publication series

Name2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings

Conference

Conference2nd IEEE International Conference on Computer and Communications, ICCC 2016
Country/TerritoryChina
CityChengdu
Period14/10/1617/10/16

Keywords

  • Adaptive transmission
  • Feedback
  • LEO satellite
  • Weather attenuation

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