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WAVE Communication-based V2I Channel Modeling

  • Lee, Soo-Hwan (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University) ;
  • Kim, Jong-Chan (Department of Railroad Electronics, KyungBuk College) ;
  • Lim, Ki-Taek (SoC Platform Research Center, Korea Electronics Technology Institute) ;
  • Cho, Hyung-Rae (Department of Radio Communication Engineering, Korea Maritime and Ocean University) ;
  • Seo, Dong-Hoan (Division of Electronics and Electrical Information Engineering, Korea Maritime and Ocean University)
  • Received : 2016.11.29
  • Accepted : 2016.12.15
  • Published : 2016.12.31

Abstract

Wireless access in vehicle environment (WAVE) communication is currently being researched as core wireless communication technologies for cooperative intelligent transport systems (C-ITS). WAVE consists of both vehicle to vehicle (V2V) communication, which refers to communication between vehicles, and vehicle to infrastructure (V2I) communication, which refers to the communication between vehicles and road-side stations. V2I has a longer communication range than V2V, and its communication range and reception rate are heavily influenced by various factors such as structures on the road, the density of vehicles, and topography. Therefore, domestic environments in which there are many non-lines of sight (NLOS), such as mountains and urban areas, require optimized communication channel modeling based on research of V2I propagation characteristics. In the present study, the received signal strength indicator (RSSI) was measured on both an experience road and a test road, and the large-scale characteristics of the WAVE communication were analyzed using the data collected to assess the propagation environment of the WAVE-based V2I that is actually implemented on highways. Based on the results of this analysis, this paper proposes a WAVE communication channel model for domestic public roads by deriving the parameters of a dual-slope logarithmic distance implementing a two-ray ground-reflection model.

Keywords

References

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