Dynamic Beam Tracking for Mobile Users

Abstract

Abstract In wireless network planning, large-scale MIMO can be applied to beam forming technology, which can ensure the continuous signal of user receiver without interruption. When the user moves, beamforming technology requires beamswitching to reposition the user, which increases unnecessary overhead. In this paper, the user azimuth beam tracking algorithm based on Kalman filtering decomposed the user’s trajectory in the actual scene, and used Kalman filtering algorithm to track the decomposed user’s trajectory, so that the beam can be adjusted to point to the user in real time. Through experimental verification, Kalman filtering is relatively accurate in predicting the position of mobile users relative to the Angle information of base station, and the predicted beam can ensure the stability of users’ connection, and at the same time achieve the purpose of reducing the number of beam-to-beam switching, reducing the overhead, improving the beam tracking efficiency, and making the connection more stable.