| Title |
Beam Tracking Algorithm based on Position Prediction using Gaussian Process in UAV-enabled Communication Systems |
| DOI |
https://doi.org/10.5573/ieie.2023.60.6.3 |
| Keywords |
Beam tracking; Codebook; Gaussian process; Pointing angle subset; Position prediction; Spectral efficiency; Unmanned aerial vehicle |
| Abstract |
With the recent expansion of 5th generation mobile communication services, data demand is increasing, and interest in millimeter wave with high frequencies or unmanned aerial vehicle, which has features of high altitude and mobility, is growing. However, for millimeter waves, narrow beams are used to compensate for large path losses, and appropriate beam allocation algorithms are essential. Therefore in this paper, we propose an algorithm to predict the position of unmanned aerial vehicle-user equipment (UAV-UE) using a Gaussian process (GP), calculate the codebook using the predicted position information, and track the optimal beam, in UAV-enabled communication systems. As a result of performance analysis, it was confirmed that proposed algorithm can predict the position of UAV-UE with high accuracy and have a high spectral efficiency. In addition, in the process of tracking the optimal beam, it is also notable that the complexity of codebook calculation is reduced by using the previously predicted position information of UAV-UE. |