Predicting Channel Gain Threshold for V2V Communications with Varying Doppler Shift Using Machine Learning

In V2V communications, adaptive modulation is a technique that can be used to solve power degradation caused by Doppler shift. Channel gain threshold is the parameter controls the use of modulation scheme. In this research, channel gain threshold prediction value was carried out using machine learning with Doppler shift values that were adjusted to the speed limit determined by the Indonesian government. Based on the prediction, for Doppler shift ζd 0.0017, the lower channel gain threshold γ1 is 0.6 and the higher channel gain threshold γ2 is 0.9. The lower channel gain threshold for ζd 0.0028 is 0.2 and the higher threshold is 0.54. For Doppler shift 0.0035, γ1 is 0.225 while the γ2 is 0.3575.