Vehicle-to-vehicle communication channel measurements on a vertical curve road

Vehicle-to-vehicle communication channel measurements on a vertical curve road

Vehicle-to-Vehicle (V2V) communication channel measurements were carried out in different environments such as urban, suburban, rural, highway, tunnel, and overpass. The roads in these environments have generally flat terrain. However, there are horizontal or vertical curve roads that have been little focused in the literature. In this study, we performed two V2V measurements on a vertical-curve road in a rural environment to show how received signal strength changes with the distance between the transmitter and the receiver. The path loss exponent of log-distance path loss model was calculated by using the least-square method. According to the results, the path loss exponents were estimated as 7.53 and 7.61 with 78% and 83% fitting performances for two measurements. In literature, however, the path loss exponent for different propagation environments was obtained up to 6.13, especially in the straight road. Thus, our findings show that the vertical curve roads cause 15-20 dB more attenuation in the received signal strength than the straight roads. As a result, the vertical curve roads should be investigated and included in existing wireless communication simulators to better model real measurements. The authors contend that this study will aid in improving the channel modeling of V2V communication.

___

  • W. H. Organization et al., “Global status report on road safety 2018: Summary,” World Health Organization, Tech. Rep., 2018.
  • T. S. and others Rappaport, Wireless communications: principles and practice. prentice hall PTR New Jersey, 1996.
  • V. Kukshya and H. Krishnan, “Experimental measurements and modeling for vehicle-to-vehicle Dedicated Short Range Communication (DSRC) wireless channels,” IEEE Vehicular Technology Conference, pp. 223–227, 2006.
  • O. Onubogu, K. Ziri-Castro, D. Jayalath, K. Ansari, and H. Suzuki, “Empirical vehicle-to-vehicle pathloss modeling in highway, suburban and urban environments at 5.8 GHz,” 2014, 8th International Conference on Signal Processing and Communication Systems, ICSPCS 2014 - Proceedings, pp. 7–12, 2014.
  • A. Roivainen, P. Jayasinghe, J. Meinilau, V. Hovinen, and M. Latva-Aho, “Vehicle-to-vehicle radio channel characterization in urban environment at 2.3 GHz and 5.25 GHz,” IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, vol. 2014-June, pp. 63–67, 2014.
  • Y. Wang, J. Hu, Y. Zhang, and C. Xu, “Reliability evaluation of IEEE 802.11p-based vehicle-to-vehicle communication in an urban expressway,” Tsinghua Science and Technology, vol. 20, no. 4, pp. 417–428, 2015.
  • J. Joo, O. S. Eyobu, D. S. Han, and H. J. Jeong, “Measurement based V2V path loss analysis in urban NLOS scenarios,”
  • International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2016-Augus, pp. 73–75, 2016.
  • M. Yang, B. Ai, R. He, L. Chen, X. Li, Z. Huang, J. Li, and C. Huang, “Path Loss Analysis and Modeling for Vehicle- To-Vehicle Communications with Vehicle Obstructions,” 2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018, 2018.
  • L. Cheng, B. E. Henty, D. D. Stancil, F. Bai, and P. Mudalige, “Mobile vehicle-to-vehicle narrow-band channel measurement and characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) frequency band,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 8, pp. 1501–1516, 2007.
  • B. Kihei, J. A. Copeland, and Y. Chang, “Improved 5.9GHz V2V short range path loss model,” Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015, pp. 244–252, 2015.
  • R. Miucic, Z. Popovic, and S. M. Mahmud, “Experimental characterization of DSRC signal strength drops,” IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 311–315, 2009.
  • H. Schumacher and H. Tchouankem, “Highway propagation modeling in VANETS and its impact on performance evaluation,” 2013 10th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2013, pp. 178–185, 2013.
  • R. He, A. F. Molisch, F. Tufvesson, Z. Zhong, B. Ai, and T. Zhang, “Vehicle-to-vehicle propagation models with large vehicle obstructions,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 5, pp. 2237–2248, 2014.
  • T. Mangel, O. Klemp, and H. Hartenstein, “Intersections: A Validated Non-Line-of-Sight Path- Loss and Fading Model,” EURASIP Journal on Wireless Communications and Networking, vol. 2011, no. 1, p. 182, 2011. [Online].
  • Available:http://jwcn.eurasipjournals.com/content/2011/1/182
  • M. G. Nilsson, C. Gustafson, T. Abbas, and F. Tufvesson, “A path loss and shadowing model for multilink vehicle-to-vehicle channels in urban intersections,” Sensors (Switzerland), vol. 18, no. 12, pp. 1–19, 2018.
  • C. Li, W. Chen, F. Li, F. Chang, K. Yang, J. Yu, and Y. Shui, “V2V Radio Channel Performance Based on Measurements in Ramp Scenarios at 5.9 GHz,” IEEE Access, vol. 6, pp. 7503–7514, 2018.
  • K. Kuzulugil, Z. Hasirci, and I.H. Cavdar, “Optimum reference distance based path loss exponent determination for vehicle-to-vehicle communication,” Turk. J. Electr. Eng. Comput. Sci., Accepted paper, 2020.