Beam and Channel Tracking for 5G Communication Systems Using Adaptive Filtering Techniques: A Comparison Study
Abstract
In this paper, we study the problem of beam tracking of a multipath channel in millimeter-wave massive MIMO communication system using adaptive filters. We focus on the performance of least-mean-square filter (LMS) and recursive least-squares filter (RLS) algorithms, compared to a reference extended Kalman filter (EKF), in scenarios where the wireless channel is dominated by a single line of sight (LOS) path or a small number of strong paths. The signal direction and channel coefficients are tracked and updated using these filters. Our results recommend that beamforming systems at millimeter-wave bands should consider variable number of paths rather than a single dominant LOS path. Furthermore, we show that the mean squared-error (MSE) of the innovation process gives a better overall view of the tracking performance than the MSE of the state parameters.
Keywords
Beam tracking, Channel tracking, mmWave, multipath, LMS, RLS, EKF
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
M. Al-Ibadi and F. E. Mahmood, "Beam and Channel Tracking for 5G Communication Systems Using Adaptive Filtering Techniques: A Comparison Study," in Journal of Communications Software and Systems, vol. 18, no. 3, pp. 244-251, August 2022, doi: 10.24138/jcomss-2021-0117
@article{al-ibadi2022beamchannel,
author = {Mohanad Al-Ibadi and Farhad E. Mahmood},
title = {Beam and Channel Tracking for 5G Communication Systems Using Adaptive Filtering Techniques: A Comparison Study},
journal = {Journal of Communications Software and Systems},
month = {8},
year = {2022},
volume = {18},
number = {3},
pages = {244--251},
doi = {10.24138/jcomss-2021-0117},
url = {https://doi.org/10.24138/jcomss-2021-0117}
}