Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment

Vehicular ad hoc Networks (VANETs) enable vehicles to communicate with each other as well as with roadside units (RSUs). Although there is a significant research effort in radio channel modeling focused on vehicle-to-vehicle (V2V), not much work has been done for vehicle-to-infrastructure (V2I) using 3D ray-tracing tools. This work evaluates some important parameters of a V2I wireless channel link such as large-scale path loss and multipath metrics in a typical urban scenario using a deterministic simulation model based on an in-house 3D Ray-Launching (3D-RL) algorithm at 5.9 GHz. Results show the high impact that the spatial distance; link frequency; placement of RSUs; and factors such as roundabout, geometry and relative position of the obstacles have in V2I propagation channel. A detailed spatial path loss characterization of the V2I channel along the streets and avenues is presented. The 3D-RL results show high accuracy when compared with measurements, and represent more reliably the propagation phenomena when compared with analytical path loss models. Performance metrics for a real test scenario implemented with a VANET wireless sensor network implemented ad-hoc are also described. These results constitute a starting point in the design phase of Wireless Sensor Networks (WSNs) radio-planning in the urban V2I deployment in terms of coverage.

[1]  Andrea Lupia,et al.  Vehicular networking and channel modeling: A new Markovian approach , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[2]  Zhenyu Wang,et al.  Statistical peer-to-peer channel models for outdoor urban environments at 2 GHz and 5 GHz , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[3]  Latesh Malik,et al.  Survey on vehicle collision prediction in VANET , 2014 .

[4]  Fredrik Tufvesson,et al.  A Measurement-Based Multilink Shadowing Model for V2V Network Simulations of Highway Scenarios , 2017, IEEE Transactions on Vehicular Technology.

[5]  Lorenzo Rubio,et al.  Path loss characterization in vehicular environments under LOS and NLOS conditions at 5.9 GHz , 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).

[6]  J. Keller,et al.  Geometrical theory of diffraction. , 1962, Journal of the Optical Society of America.

[7]  J. Keller.  One hundred years of diffraction theory , 1985 .

[8]  R. Kouyoumjian,et al.  A uniform geometrical theory of diffraction for an edge in a perfectly conducting surface , 1974 .

[9]  Ahmad Bahai,et al.  Channel Characterization for 700 MHz DSRC Vehicular Communication , 2010, J. Electr. Comput. Eng..

[10]  Alberto Córdoba,et al.  SesToCross: Semantic Expert System to Manage Single-Lane Road Crossing , 2017, IEEE Transactions on Intelligent Transportation Systems.

[11]  Raymond J. Luebbers.  Comparison of lossy wedge diffraction coefficients with application to mixed path propagation loss prediction , 1988 .

[12]  Francisco Falcone,et al.  Impact of High Power Interference Sources in Planning and Deployment of Wireless Sensor Networks and Devices in the 2.4 GHz Frequency Band in Heterogeneous Environments , 2012, Sensors.

[13]  Gianluca Gennarelli,et al.  A Uapo-Based Model for Propagation Prediction in Microcellular Environments , 2009 .

[14]  Brian D. O. Anderson,et al.  Path loss exponent estimation for wireless sensor network localization , 2007, Comput. Networks.

[15]  Jesús E. Villadangos,et al.  Analysis of Wireless Sensor Network Topology and Estimation of Optimal Network Deployment by Deterministic Radio Channel Characterization , 2014, Sensors.

[16]  Francisco Falcone,et al.  Characterization of Radio Propagation Channel in Urban Vehicle to Infrastructure Environments to Support WSNs , 2016 .

[17]  Noh-Hoon Myung,et al.  A deterministic ray tube method for microcellular wave propagation prediction model , 1999 .

[18]  Antonella Molinaro,et al.  Vehicular connectivity in urban scenarios: effectiveness and potential of roadside, moving WAVE providers and hybrid solutions , 2011, EURASIP J. Wirel. Commun. Netw..

[19]  PROPAGATION DATA AND PREDICTION METHODS FOR THE PLANNING OF INDOOR RADIOCOMMUNICATION SYSTEMS AND RADIO LOCAL AREA NETWORKS IN THE FREQUENCY RANGE 900 MHz TO 100 GHz , 1997 .

[20]  Andreas F. Molisch,et al.  Statistical characterization of urban spatial radio channels , 2002, IEEE J. Sel. Areas Commun..

[21]  Moncef Gabbouj,et al.  Robust Vehicle-to-Infrastructure Video Transmission for Road Surveillance Applications , 2015, IEEE Transactions on Vehicular Technology.

[22]  Susana Sargento,et al.  A statistical channel model for realistic simulation in VANET , 2012, 2012 IEEE Vehicular Networking Conference (VNC).

[23]  Francisco Falcone,et al.  Convergence Analysis in Deterministic 3D Ray Launching Radio Channel Estimation in Complex Environments , 2014 .

[24]  Hristo D. Hristov,et al.  Fresnal Zones in Wireless Links, Zone Plate Lenses and Antennas , 2000 .

[25]  M. Kamarudin,et al.  Relationship between maximum access delay and the R.M.S delay spread , 2011 .

[26]  Francisco Falcone,et al.  Characterization and consideration of topological impact of wireless propagation in a commercial aircraft environment [wireless corner] , 2013, IEEE Antennas and Propagation Magazine.

[27]  Troels B. Sorensen,et al.  Measurement-based Evaluation of the Impact of Large Vehicle Shadowing on V2X Communications , 2016 .

[28]  Vicente Milanés Montero,et al.  Cooperative Adaptive Cruise Control in Real Traffic Situations , 2014, IEEE Transactions on Intelligent Transportation Systems.

[29]  Francisco Falcone,et al.  Evaluation of Deployment Challenges of Wireless Sensor Networks at Signalized Intersections , 2016, Sensors.

[30]  R. Luebbers.  A heuristic UTD slope diffraction coefficient for rough lossy wedges , 1989 .

[31]  Gregor Lasser,et al.  Empirical path loss model fit from measurements from a vehicle-to-infrastructure network in Munich at 5.9 GHz , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[32]  Abdelhamid Tayebi,et al.  THE APPLICATION OF RAY-TRACING TO MOBILE LOCALIZATION USING THE DIRECTION OF ARRIVAL AND RECEIVED SIGNAL STRENGTH IN MULTIPATH INDOOR ENVIRONMENTS , 2009 .

[33]  Soumaya Cherkaoui,et al.  Realistic Urban Scenarios Simulation for Ad Hoc Networks , 2005 .

[34]  Amitabha Ghosh,et al.  Intelligent parking lot application using wireless sensor networks , 2008, 2008 International Symposium on Collaborative Technologies and Systems.

[35]  Nathan Blaunstein.  Average field attenuation in the nonregular impedance street waveguide , 1998 .

[36]  Christoph F. Mecklenbräuker,et al.  A model for vehicle-to-infrastructure communications in urban environments , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[37]  Falko Dressler,et al.  Vehicular Networking , 2014 .

[38]  Sinem Coleri Ergen,et al.  Vehicle Mobility and Communication Channel Models for Realistic and Efficient Highway VANET Simulation , 2015, IEEE Transactions on Vehicular Technology.

[39]  Francisco Falcone,et al.  Intelligent Vehicle Communication: Deterministic Propagation Prediction in Transportation Systems , 2016, IEEE Vehicular Technology Magazine.