Open AccessDynamic Beam Tracking for Mobile Users
Author(s) -
Sai Wu,
Baojuan Ma,
Zhan-Li Sun,
Jun Sun,
Wei Shao,
Wei Zheng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1815/1/012025
Subject(s) - computer science , beamforming , overhead (engineering) , kalman filter , trajectory , tracking (education) , base station , beam (structure) , real time computing , azimuth , mobile station , engineering , computer network , telecommunications , artificial intelligence , mathematics , psychology , pedagogy , physics , civil engineering , geometry , astronomy , operating system
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.