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A MDP-based Adaptive Spread Spectrum Parameter Algorithm under Train-to-Train Communication

  • Xiying Song*
  • , Haifeng Song*
  • , Xingtang Wu
  • , Hairong Dong
  • *Corresponding author for this work
  • Beijing Jiaotong University
  • Beihang University

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

Abstract

With the advantages of punctuality and rapidity, rail transit has become the essential transportation mode in society. To further develop it into an intelligent system, train-to-train (T2T) communication is proposed as a significant technology in recent years. In this paper, with the background and purpose of T2T communication ranging, a new composite spread spectrum sequence is proposed. An adaptive algorithm that applies the Markov Decision Process (MDP) to evaluate spread spectrum parameters is emphatically studied based on the composite sequence. The results indicated the algorithm could effectively balance the performance indicators of the spread spectrum system.

Original languageEnglish
Title of host publicationProceedings of the 40th Chinese Control Conference, CCC 2021
EditorsChen Peng, Jian Sun
PublisherIEEE Computer Society
Pages3149-3154
Number of pages6
ISBN (Electronic)9789881563804
DOIs
StatePublished - 26 Jul 2021
Externally publishedYes
Event40th Chinese Control Conference, CCC 2021 - Shanghai, China
Duration: 26 Jul 202128 Jul 2021

Publication series

NameChinese Control Conference, CCC
Volume2021-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference40th Chinese Control Conference, CCC 2021
Country/TerritoryChina
CityShanghai
Period26/07/2128/07/21

Keywords

  • Markov Decision Process
  • Pseudo Random Noise Code
  • Spread Spectrum
  • Train-to-Train Communication

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