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An Anti-Interference Scheme for UAV Data Links in Air–Ground Integrated Vehicular Networks

Authors :
Yixin He
Daosen Zhai
Ruonan Zhang
Xiaojiang Du
Mohsen Guizani
Source :
Sensors, Vol 19, Iss 21, p 4742 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

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.

Details

Language :
English
ISSN :
14248220
Volume :
19
Issue :
21
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.6e214fb658a4e9a82ee1fdb9d19cea7
Document Type :
article
Full Text :
https://doi.org/10.3390/s19214742