As communication base station beams toward users are getting narrower in millimetre-wave (mm-Wave) technology, a proper beam tracking system is required to follow the user mobility in 6G communication systems. Due to mobility, this task can be achieved via adaptive algorithms. To measure the performance of these algorithms, the metric of tracking speed and accuracy needs to be considered. In this paper, we study and compare the performance of multiple well-known adaptive algorithms such as the least mean squares (LMS), the normalized version of that (NLMS), and the recursive least squares (RLS) to track the narrow beam toward a user with a moving direction. The algorithms under investigation display a trade-off between convergence speed and tracking accuracy. Furthermore, in this paper, a bi-directional RLS tracking algorithm has been proposed called (BIRLS) to enhance the tracking accuracy. The high tracking accuracy can be a potential tool for new technologies such as intelligent reflection surfaces (IRS).
6G; Millimetre wave (mm-Wave); Least mean square (LMS); Recursive least square (RLS); bi-directional; Recursive least square (BIRLS).
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About the author:
Ban Aziz Asi teaching at the Department of Computer Engineering, College of Engineering, University of Mosul, Mosul, IRAQ. Her research interests are digital communication, mobile communication, modern communication techniques such as massive MI.