Cooperative beam tracking by multi-sensor data fusion in V2X networks
Mattia Brambilla, Lorenzo Combi, Andrea Matera, Dario Tagliaferri, Monica Nicoli, Umberto Spagnolini · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2019
This research focuses on ultra-reliable low-latency Vehicle-to-Anything (V2X) communications. We envision a system architecture and processing algorithms for the alignment of highly collimated V2X beams based either on millimeter-Wave (mmW) or Free-Space Optics (FSO). A sensor aided beam tracking strategy based on distributed processing of sensor data is used to counteract the detrimental effect of dynamics, guaranteeing a seamless communication. Sensor data are mutually exchanged among vehicles to estimate their kinematics, increasing the self-situational awareness and providing a geometrical description of the line-of-sight link between transceivers. Highly directional mmW and/or FSO communications are shown to be promising candidates for multiGbps V2X communications even in high mobility scenarios if supported by an adequate architecture and advanced processing techniques.