Leveraging Sensing at the Infrastructure for mmWave Communication

V2X communication in the mmWave band is one way to achieve high data rates for applications like infotainment, cooperative perception, augmented reality assisted driving, and so on. MmWave communication relies on large antenna arrays, and configuring these arrays poses high training overhead. In this article, we motivate the use of infrastructure mounted sensors (which will be part of future smart cities) to aid establishing and maintaining mmWave vehicular communication links. We provide numerical and measurement results to demonstrate that information from these infrastructure sensors reduces the mmWave array configuration overhead. Finally, we outline future research directions to help materialize the use of infrastructure sensors for mmWave communication.

[1]  Theodore S. Rappaport,et al.  Millimeter-Wave Human Blockage at 73 GHz with a Simple Double Knife-Edge Diffraction Model and Extension for Directional Antennas , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).

[2]  Erik G. Ström,et al.  Location-aided mm-wave channel estimation for vehicular communication , 2016, 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[3]  Robert W. Heath,et al.  Millimeter-Wave Vehicular Communication to Support Massive Automotive Sensing , 2016, IEEE Communications Magazine.

[4]  Amitava Ghosh,et al.  Millimeter wave V2I beam-training using base-station mounted radar , 2019, 2019 IEEE Radar Conference (RadarConf).

[5]  Robert W. Heath,et al.  LIDAR Data for Deep Learning-Based mmWave Beam-Selection , 2019, IEEE Wireless Communications Letters.

[6]  Marina Petrova,et al.  RadMAC: radar-enabled link obstruction avoidance for agile mm-wave beamsteering , 2016, HotWireless@MobiCom.

[7]  Anum Ali,et al.  Passive Radar at the Roadside Unit to Configure Millimeter Wave Vehicle-to-Infrastructure Links , 2019, IEEE Transactions on Vehicular Technology.

[8]  Andreas F. Molisch,et al.  Angular Information-Based NLOS/LOS Identification for Vehicle to Vehicle MIMO System , 2019, 2019 IEEE International Conference on Communications Workshops (ICC Workshops).

[9]  Robert W. Heath,et al.  Vehicle-to-Vehicle Communication for Autonomous Vehicles: Safety and Maneuver Planning , 2018, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall).