Measurement-based Evaluation of Uplink Throughput Prediction

Motivated by the teleoperation and local map sharing vehicular communication use cases, we investigate whether uplink throughput can be predicted by different machine learning approaches. First, we perform measurements of the vehicle to infrastructure (V2I) uplink throughput in Munich, Germany. Then, we use the collected measurements to evaluate whether linear regression (LR), deep neural network…