mmWave Beam Tracking for V2I Communication Systems Based on Spectrum Environment Awareness

Real-time matching of millimeter wave (mmWave) narrow beams is a great challenge in dynamic vehicle to infrastructure (V2I) environments due the mobility vehicles. In this paper, novel beam search strategy based on spectrum-environment awareness proposed. Combining technique label iterative optimization with three-dimensional (3D) grid encoding, treats optimal pair indexes (BPIs) as labels and encodes features. Three-dimensional encoding symmetry-based environmental coding technology. A new Convolutional Neural Network (CNN) model also constructed, which trained by The situational actual vehicles performed under CNN model. As result, real-time mmWave can be achieved. Simulation results demonstrate that proposed effectively reduce overhead improve efficiency while guaranteeing accuracy.