Joint Vehicle Tracking and RSU Selection for V2I Communications With Extended Kalman Filter

We develop joint vehicle tracking and road side unit (RSU) selection algorithms suitable for vehicle-to-infrastructure (V2I) communications. first design an analytical framework evaluating systems based on the extended Kalman filter. A simple, yet effective, metric that quantifies performance is derived in terms of angular derivative a dominant spatial frequency. Second, RSU algorithm proposed to select proper enhances performance. also developed maximize by considering sounding samples at multiple RSUs while minimizing amount sample exchange. The numerical results verify give better than conventional signal-to-noise ratio-based systems.