| Title |
UKF-based Beam Tracking Algorithm using Hybrid Beamforming in UAV-enabled NR MIMO-OFDM System |
| Authors |
심윤아(Yuna Sim) ; 신승석(Seungseok Sin) ; 조지훈(Jihun Cho) ; 문상미(Sangmi Moon) ; 황인태(Intae Hwang) |
| DOI |
https://doi.org/10.5573/ieie.2023.60.1.3 |
| Keywords |
Beam tracking; Hybrid beamforming; Multiple-input multiple-output; Orthogonal frequency diversity multiplexing; Unscented Kalman filter. |
| Abstract |
Unmanned aerial vehicle (UAV) and millimeter wave frequencies are one of the core technologies of 5G wireless communication systems which expand the area of wireless communication by increasing data capacity in communication systems and support high data rates. However, short wavelengths due to high frequencies of millimeter wave frequencies cause problems of signal attenuation and path loss, and interest in the research of high directional beamforming technology is growing to compensate for this. Furthermore, due to the mobility of UAVs, it is essential to track the accurate beam angle to obtain a full beamforming gain. Therefore, in this paper, we propose a beam tracking method based on the unscented Kalman filter (UKF) using hybrid beamforming. Simulation results show that the proposed beam tracking scheme has improved overall performance in terms of mean square error (MSE) and spectral efficiency (SE). In addition, by expanding analog beamforming to hybrid beamforming, the algorithm can be used even in multi-user and multi-stream environments, increasing data capacity, thereby increasing utilization in new radio multiple-input multiple-output - orthogonal frequency diversity multiplexing (NR MIMO-OFDM) systems. |