An anti-interference scheme for UAV data links in air–ground integrated vehicular networks

Yixin He, Daosen Zhai, Ruonan Zhang, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

As one of the main applications of the Internet of things (IoT), the vehicular ad-hoc network (VANET) is the core of the intelligent transportation system (ITS). Air–ground integrated vehicular networks (AGIVNs) assisted by unmanned aerial vehicles (UAVs) have the advantages of wide coverage and flexible configuration, which outperform the ground-based VANET in terms of communication quality. However, the complex electromagnetic interference (EMI) severely degrades the communication performance of UAV sensors. Therefore, it is meaningful and challenging to design an efficient anti-interference scheme for UAV data links in AGIVNs. In this paper, we propose an anti-interference scheme, named as Mary-MCM, for UAV data links in AGIVNs based on multi-ary (M-ary) spread spectrum and multi-carrier modulation (MCM). Specifically, the Mary-MCM disperses the interference power by expanding the signal spectrum, such that the anti-interference ability of AGIVNs is enhanced. Besides, by using MCM and multiple-input multiple-output (MIMO) technologies, the Mary-MCM improves the spectrum utilization effectively while ensuring system performance. The simulation results verify that the Mary-MCM achieves excellent anti-interference performance under different EMI combinations.

Original languageEnglish
Article number4742
JournalSensors (Switzerland)
Volume19
Issue number21
DOIs
StatePublished - 1 Nov 2019

Keywords

  • Air-Ground integrated vehicular networks (AGIVNs)
  • Data links
  • Multi-ary (M-ary) spread spectrum
  • Multi-carrier modulations (MCM)
  • Unmanned aerial vehicle (UAV)

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