Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications

Abstract

Predictable inter-vehicle communication reliability is a basis for the paradigm shift from the traditional singlevehicle-oriented safety and efficiency control to networked vehicle control. The lack of predictable interference control in existing mechanisms of inter-vehicle communications, however, makes them incapable of ensuring predictable communication reliability. For predictable interference control, we propose the Cyber-Physical Scheduling (CPS) framework that leverages the PRK interference model and addresses the challenges of vehicle mobility to PRK-based scheduling. In particular, for lightweight control signaling and effective interference relation estimation, CPS leverages the physical locations of vehicles to define the gPRK interference model as a geometric approximation of the PRK model; for effective use of the gPRK model, CPS leverages cyber-physical structures of vehicle traffic flows, particularly, the spatiotemporal interference correlation as well as the macroand micro-scopic vehicle dynamics. Through experimental analysis with high-fidelity ns-3 and SUMO simulation, we observe that CPS enables predictable reliability while achieving high throughput and low delay in communication. To the best of our knowledge, CPS is the first field-deployable method that ensures predictable interference control and thus reliability in inter-vehicle communications.