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Performance analysis of the avionics power line communication by stochastic network calculus

  • Ruowen Yan
  • , Qiao Li*
  • , Huagang Xiong
  • , Yuanjun Zuo
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Applying Power Line Communication (PLC) technology in avionics provides an excellent solution for providing low aircraft weight, high transmission speed, high stability and good shielding performance. Avionics system designers had promoted some pioneering projects such as the EC FP7 TAUPE project to apply PLC based interconnections. Although many PLC electronic parts could be available due to technology success in in-home Local Area Network applications, requirements for safety and complicated avionics environment has been asking for more mature and advanced PLC solutions. We propose Stochastic Network Calculus (SNC) as a theoretical tool to analyze the performance of airborne PLC networks. First, we modeled an airborne PLC system with OFDM modulation in the physical layer and mixed CSMA and TDMA modulation in the Medium Access Control layer. Secondly, considering the randomness of traffic arrival process in the airborne PLC networks, the stochastic envelop curve is used to describe this process. Finally, we get the queue delay and backlog performance of traffic with different priorities in the network by using the theory of minimum plus convolution algebra in Stochastic Network Calculus to provide statistical Quality of Service (QoS) for actual airborne PLC networks. The evaluation method of Stochastic Network Calculus takes into account both the reliability and randomness of the communication network, which provides some references for the future design of avionics communication systems.

Original languageEnglish
Title of host publicationDASC 2020 - 39th Digital Avionics Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198255
DOIs
StatePublished - 11 Oct 2020
Event39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020 - Virtual, San Antonio, United States
Duration: 11 Oct 202016 Oct 2020

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Volume2020-October
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209

Conference

Conference39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020
Country/TerritoryUnited States
CityVirtual, San Antonio
Period11/10/2016/10/20

Keywords

  • MIMO technology
  • Power Line Communication
  • QoS
  • Stochastic Network Calculus

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