Radar-Assisted Multiple Base Station Cooperative mmWave Beam Tracking

In the future vehicular networks with an increased number of transceiver antennas and higher vehicle speeds, more frequent beam switching is required to ensure quality communication, which poses challenges tracking speed resource efficiency. Integrated sensing communication (ISAC) provide a new solution cope this problem since radar echo can help predict vehicle’s location direction. Therefore, we present radar-assisted algorithm based on Extended Kalman filtering (EKF) multi-road side unit (RSU) cooperation in article. Each RSU uses EKF track position upload prediction information edge server (ES). By deploying multiple RSUs, ES uploaded distributed for joint estimation thus improves accuracy prediction, used task at next moment. Considering real complex road conditions, investigate two scenarios where vehicles move linearly or curvilinearly. Simulation results show that proposed method base station spectral efficiency by 34% 20% over non-cooperative linear curvilinear mobility, respectively. addition, compared traditional scanning signaling feedback, significantly reduces overhead.