Millimeter-Wave Channel Characterization for Vehicle-to-Infrastructure Communication

The vehicle-to-infrastructure (V2I) communication can capture infrastructure data and provide travelers with real-time traffic information, which can significantly improve road safety. Millimeter-wave (mmWave) with large bandwidth has been introduced as a key technology to achieve ultra-reliable, low latency, and high-data-rate V2I communication. In this paper, the V2I communication in mmWave band (22.1GHz-23.lGHz) is characterized for typical urban and highway scenarios. By considering the different deployments involving overtaking and traffic flow, the simulations are conducted by employing the self-developed ray-tracing. The key channel parameters, including received power, Rician K-factor, root-mean-square delay spread and angular spreads, are analyzed and compared between different deployments. Moreover, the impacts of the multiple antennas and beam switching technologies at the vehicle are evaluated as well. This work aims to help the researchers understand the channel characteristics of the V2I communication in mmWave band and support communication system design for vehicular communications.

[1]  Theodore S. Rappaport,et al.  Millimeter-Wave 60 GHz Outdoor and Vehicle AOA Propagation Measurements Using a Broadband Channel Sounder , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[2]  Sang-Wook Lee,et al.  LTE based V2X receiver to support high speed , 2017, 2017 International Conference on Information and Communication Technology Convergence (ICTC).

[3]  Igor Kabashkin.  Reliable v2x communications for safety-critical intelligent transport systems , 2017, 2017 Advances in Wireless and Optical Communications (RTUWO).

[4]  Fa-Long Lu.  5G New Radio (NR): Standard and Technology , 2020 .

[5]  K. Sarabandi,et al.  An enhanced millimeter-wave foliage propagation model , 2005, IEEE Transactions on Antennas and Propagation.

[6]  Bo Ai,et al.  Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band—Part II: Case Study for Paradigm Implementation , 2018, IEEE Transactions on Vehicular Technology.

[7]  Bo Ai,et al.  The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial , 2019, IEEE Communications Surveys & Tutorials.

[8]  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.

[9]  Bo Ai,et al.  Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band—Part I: Paradigm, Significance Analysis, and Scenario Reconstruction , 2018, IEEE Transactions on Vehicular Technology.

[10]  E. Vitucci,et al.  Measurement and Modelling of Scattering From Buildings , 2007, IEEE Transactions on Antennas and Propagation.

[11]  Andreas F. Molisch,et al.  Estimation of the K-Factor for Temporal Fading From Single-Snapshot Wideband Measurements , 2019, IEEE Transactions on Vehicular Technology.

[12]  Masayuki Fujise,et al.  Propagation Characteristics of 60-GHz Millimeter Waves for ITS Inter-Vehicle Communications , 2001 .

[13]  Chee Yen Leow,et al.  Millimeter wave propagation through foliage: Comparison of models , 2015, 2015 IEEE 12th Malaysia International Conference on Communications (MICC).

[14]  Zhang Fei,et al.  The current situation and development thinking of The Intelligent Transportation System in China , 2010, 2010 International Conference on Mechanic Automation and Control Engineering.

[15]  Hwang Jinyup,et al.  LTE based V2X receiver to support high speed , 2017 .

[16]  Bo Ai,et al.  Channel Characterization for mmWave Vehicle-to-Infrastructure Communications in Urban Street Environment , 2019, 2019 13th European Conference on Antennas and Propagation (EuCAP).