Empirical Radio Channel Characterization at 5.9 GHz for Vehicle-to-Infrastructure Communication

The uses of a vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications in the mining industry are expected to open significant opportunities for collecting and exchanging data. However, besides enabling the service of these technologies, radio channel propagation should be investigated. In this paper, we present extensive channel measurement and characterization at the 5.9 GHz dedicated short- range communications (DSRC) frequency band. The measurements were performed in a real underground mine gallery. The primary purpose of this study is to characterize the large-scale and small-scale fading. We provide results for the root-mean- square (RMS) delay spread and Kurtosis of the received power for both stationary and moving car scenarios. We conclude the paper by identifying the under-researched aspects of the vehicular propagation and channel modeling in underground mines.

[1]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[2]  Pabitra Mohan Khilar,et al.  Vehicular communication: a survey , 2014 .

[3]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[4]  Fredrik Tufvesson,et al.  Path Loss Modeling for Vehicle-to-Vehicle Communications , 2011, IEEE Transactions on Vehicular Technology.

[5]  Fredrik Tufvesson,et al.  A survey on vehicle-to-vehicle propagation channels , 2009, IEEE Wireless Communications.

[6]  P Gokulakrishnan,et al.  Road Accident Prevention with Instant Emergency Warning Message Dissemination in Vehicular Ad-Hoc Network. , 2015, PloS one.

[7]  Fan Bai,et al.  Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band , 2007, IEEE Journal on Selected Areas in Communications.

[8]  Dirk Helbing,et al.  Connectivity Statistics of Store-and-Forward Intervehicle Communication , 2010, IEEE Transactions on Intelligent Transportation Systems.

[9]  Dexin Yu,et al.  A Beacon Transmission Power Control Algorithm Based on Wireless Channel Load Forecasting in VANETs , 2015, PloS one.

[10]  Shahaboddin Shamshirband,et al.  A Lightweight Radio Propagation Model for Vehicular Communication in Road Tunnels , 2016, PloS one.

[11]  Zachary MacHardy,et al.  V2X Access Technologies: Regulation, Research, and Remaining Challenges , 2018, IEEE Communications Surveys & Tutorials.

[12]  K. Giridhar,et al.  Biased estimation of Rician K factor , 2007, 2007 6th International Conference on Information, Communications & Signal Processing.

[13]  Abdellah Chehri,et al.  Characterization of the Ultra-Wideband Channel in Confined Environments with Diffracting Rough Surfaces , 2012, Wirel. Pers. Commun..

[14]  S. Affes,et al.  Statistical modelling of a radio propagation channel in an underground mine at 2.4 and 5.8 GHz , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[15]  Ellen van Nunen,et al.  Cooperative Competition for Future Mobility , 2012, IEEE Transactions on Intelligent Transportation Systems.

[16]  N. Hakem,et al.  Large scale propagation analysis of vehicle-to-vehicle communications at 5.9 GHz , 2014, 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI).

[17]  Hussein T. Mouftah,et al.  Relay Selection for Heterogeneous Transmission Powers in VANETs , 2017, IEEE Access.

[18]  Yunpeng Wang,et al.  An extended car-following model with consideration of the reliability of inter-vehicle communication , 2014 .

[19]  Abdellah Chehri,et al.  An Investigation of UWB-Based Wireless Networks in Industrial Automation , 2008 .

[20]  Fredrik Tufvesson,et al.  In-Tunnel Vehicular Radio Channel Characterization , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).