  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, CPS leverage physical locations of vehicles to define the gPRK
interference model, a geometric approximation of the PRK model, for effective
interference relation estimation, and CPS leverages cyber-physical structures
of vehicle traffic flows (particularly, spatiotemporal interference correlation
as well as macro- and micro-scopic vehicle dynamics) for effective use of the
gPRK model. 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.
