Vehicular Channels: Characteristics, Models and Implications on Communication Systems Design

The application of information and communication technologies to road transportation systems can significantly improve safety and traffic flow. This requires setting up vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication links. Two technologies, based on the IEEE 802.11p and on the long-term evolution for vehicular communications (LTE-V) standards, have been proposed for this purpose. This paper analyzes the relation between the characteristics of vehicular communication channels and the parameters of the referred systems, with particular emphasis on the physical and medium access control layers. To this end, the primary factors that influence V2V and V2I channels and their main characteristics are firstly described. Illustrative results for a highway scenario, as well as a summary of the channel parameters reported in the literature, are given. The employed modeling approaches are then reviewed and representative examples of the two foremost strategies are provided. The key parameters of the IEEE 802.11p and LTE-V physical layers are then summarized and its suitability to deal with the time and frequency selectivity of vehicular channels is compared. Distortion caused by the time variation of the channel is examined and design challenges related to important aspects like synchronization, multiple access interference and channel estate information estimation are discussed.

[1]  Li Zhao,et al.  Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G , 2017, IEEE Communications Standards Magazine.

[2]  Tianming Ma ICI suppressing scheme in OFDM systems over multipath fading channels , 2018 .

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

[4]  Fan Bai,et al.  Highway and rural propagation channel modeling for vehicle-to-vehicle communications at 5.9 GHz , 2008, 2008 IEEE Antennas and Propagation Society International Symposium.

[5]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[6]  Fredrik Tufvesson,et al.  Vehicular Channel Characterization and Its Implications for Wireless System Design and Performance , 2011 .

[7]  Mate Boban,et al.  Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation , 2013, IEEE Transactions on Vehicular Technology.

[8]  G. Matz,et al.  On non-WSSUS wireless fading channels , 2005, IEEE Transactions on Wireless Communications.

[9]  Fredrik Tufvesson,et al.  Characterization of Vehicle-to-Vehicle Radio Channels from Measurements at 5.2 GHz , 2009, Wirel. Pers. Commun..

[10]  N. Czink,et al.  Low-complexity geometry-based modeling of diffuse scattering , 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.

[11]  Markus Rupp,et al.  Signal Processing Challenges in Cellular-Assisted Vehicular Communications: Efforts and developments within 3GPP LTE and beyond , 2017, IEEE Signal Processing Magazine.

[12]  David W. Matolak Modeling the vehicle‐to‐vehicle propagation channel: A review , 2014 .

[13]  Hüseyin Arslan,et al.  Low ICI Symbol Boundary Alignment for 5G Numerology Design , 2018, IEEE Access.

[14]  Jingxian Wu,et al.  Fundamental Tradeoff Between Doppler Diversity and Channel Estimation Errors in SIMO High Mobility Communication Systems , 2018, IEEE Access.

[15]  David W. Matolak,et al.  Vehicle–Vehicle Channel Models for the 5-GHz Band , 2008, IEEE Transactions on Intelligent Transportation Systems.

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

[17]  Zhang Qian,et al.  Sparse channel recovery with inter-carrier interference self-cancellation in OFDM , 2018 .

[18]  Mate Boban,et al.  Exploiting the height of vehicles in vehicular communication , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[19]  Andreas F. Molisch,et al.  Wireless Communications , 2005 .

[20]  Wanbin Tang,et al.  Measurement and Analysis of Wireless Channel Impairments in DSRC Vehicular Communications , 2008, 2008 IEEE International Conference on Communications.

[21]  Jeongho Jeon,et al.  NR Wide Bandwidth Operations , 2017, IEEE Communications Magazine.

[22]  Mate Boban,et al.  Vehicular Communications: Survey and Challenges of Channel and Propagation Models , 2015, IEEE Vehicular Technology Magazine.

[23]  Shin-Lin Shieh,et al.  5G New Radio: Waveform, Frame Structure, Multiple Access, and Initial Access , 2017, IEEE Communications Magazine.

[24]  Javier Gozalvez,et al.  LTE-V for Sidelink 5G V2X Vehicular Communications: A New 5G Technology for Short-Range Vehicle-to-Everything Communications , 2017, IEEE Vehicular Technology Magazine.

[25]  Lajos Hanzo,et al.  NOMA in Vehicular Communications , 2019 .

[26]  Fan Bai,et al.  Multi-Path Propagation Measurements for Vehicular Networks at 5.9 GHz , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[27]  Jose F. Monserrat,et al.  Traffic safety in the METIS-II 5G connected cars use case: Technology enablers and baseline evaluation , 2017, 2017 European Conference on Networks and Communications (EuCNC).

[28]  Fredrik Tufvesson,et al.  A geometry-based stochastic MIMO model for vehicle-to-vehicle communications , 2009, IEEE Transactions on Wireless Communications.

[29]  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.

[30]  Fredrik Tufvesson,et al.  Time- and Frequency-Varying $K$-Factor of Non-Stationary Vehicular Channels for Safety-Relevant Scenarios , 2013, IEEE Transactions on Intelligent Transportation Systems.

[31]  David W. Matolak,et al.  Channel Modeling for Vehicle-To-Vehicle Communications , 2008, IEEE Commun. Mag..

[32]  Oliver Klemp Performance considerations for automotive antenna equipment in vehicle-to-vehicle communications , 2010, 2010 URSI International Symposium on Electromagnetic Theory.

[33]  Ananthanarayanan Chockalingam,et al.  SC-FDMA Versus OFDMA: Sensitivity to Large Carrier Frequency and Timing Offsets on the Uplink , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[34]  Andreas F. Molisch,et al.  The double-directional radio channel , 2001 .

[35]  Xiaojing Huang,et al.  An interference self-cancellation technique for SC-FDMA systems , 2010, IEEE Communications Letters.

[36]  Xiang Cheng,et al.  Index modulated OFDM with ICI self-cancellation for V2X communications , 2016, 2016 International Conference on Computing, Networking and Communications (ICNC).

[37]  Fredrik Tufvesson,et al.  Delay and Doppler Spreads of Nonstationary Vehicular Channels for Safety-Relevant Scenarios , 2013, IEEE Transactions on Vehicular Technology.

[38]  Arogyaswami Paulraj,et al.  Motivating Network Deployment: Vehicular Communications , 2017, IEEE Vehicular Technology Magazine.

[39]  Lars Thiele,et al.  QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials , 2014, IEEE Transactions on Antennas and Propagation.

[40]  Zhongren Wang,et al.  DSRC Versus 4G-LTE For Connected Vehicle Applications: A Study on Field Experiments of Vehicular Communication Performance , 2017 .

[41]  Claude Oestges,et al.  Wideband MIMO Car-to-Car Radio Channel Measurements at 5.3 GHz , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[42]  Li Zhao,et al.  Link level performance comparison between LTE V2X and DSRC , 2017, Journal of Communications and Information Networks.

[43]  Thomas Zwick,et al.  Influence of antennas placement on car to car communications channel , 2009, 2009 3rd European Conference on Antennas and Propagation.

[44]  Jürgen Kunisch,et al.  Wideband Car-to-Car Radio Channel Measurements and Model at 5.9 GHz , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[45]  Guofa Li,et al.  Decision Tree-Based Maneuver Prediction for Driver Rear-End Risk-Avoidance Behaviors in Cut-In Scenarios , 2017 .