TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Beam Tracking Method Using Unscented Kalman Filter for UAV-Enabled NR MIMO-OFDM System with Hybrid Beamforming |
| 영문제목(English Title) |
Beam Tracking Method Using Unscented Kalman Filter for UAV-Enabled NR MIMO-OFDM System with Hybrid Beamforming |
| 저자(Author) |
Yuna Sim
Seungseok Sin
Jihun Cho
Sangmi Moon
Young-Hwan You
Cheol Hong Kim
Intae Hwang
|
| 원문수록처(Citation) |
VOL 17 NO. 01 PP. 0280 ~ 0294 (2023. 01) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Unmanned aerial vehicles (UAVs) and millimeter-wave frequencies play key roles in supporting 5G wireless communication systems. They expand the field of wireless communication by increasing the data capacities of communication systems and supporting high data rates. However, short wavelengths, owing to the high millimeter-wave frequencies can cause problems, such as signal attenuation and path loss. To address these limitations, research on high directional beamforming technologies continue to garner interest. Furthermore, owing to the mobility of the UAVs, it is essential to track the beam angle accurately to obtain full beamforming gain. This study presents a beam tracking method based on the unscented Kalman filter using hybrid beamforming. The simulation results reveal that the proposed beam tracking scheme improves the overall performance in terms of the mean-squared error and spectral efficiency. In addition, by expanding analog beamforming to hybrid beamforming, the proposed algorithm can be used even in multi-user and multi-stream environments to increase data capacity, thereby increasing utilization in new-radio multiple-input multiple-output orthogonal frequency-division multiplexing systems. |
| 키워드(Keyword) |
Beam tracking
hybrid beamforming
multiple-input multiple-output
orthogonal frequency diversity multiplexing
unscented Kalman filter
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| 파일첨부 |
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