Sensor-based communication prediction for dynamic Doppler-shift compensation

We introduce a sensor-aided predictive algorithm for Doppler-shift estimation and compensation in dynamic vehicular environments. The proposed concept uses sensor data to improve adaptation of V2V communication parameters to instantaneous channel states. The obtained results show that the use of vehicles' sensor data enables a range of improvements in direct vehicle-to-vehicle communications.