TY - GEN
T1 - 5G and UAV Integrated Three Dimensional Positioning Using Downlink PRS
AU - Wang, Xunze
AU - Zhang, Ying
AU - Li, Yuliang
AU - Zhang, Tingting
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The integration of unmanned aerial vehicles (UAVs) with 5G systems has revolutionized positioning technology, offering enhanced accuracy and reliability in challenging environments. We investigate the utilization of 5G downlink (DL) positioning reference signals (PRS) in conjunction with UAV assistance for 3-dimensional (3D) localization in urban macro environments. We introduce the generation of PRS and the corresponding frame structure, followed by their mapping for transmission via cyclic prefix orthogonal frequency division multiplexing (CP-OFDM). Subsequently, the user obtains the time difference of arrival (TDOA) by processing the PRS from each g-NodeB (gNB). An innovative UAV-assisted 3D localization method is then proposed, to address situations where the vertical localization accuracy is severely compromised. Finally, numerical results demonstrate that the proposed method enhances the horizontal localization accuracy by 47% and the vertical localization accuracy by 89%. Based on these findings, the optimal deployment of UAVs and gNBs selection strategy is also provided.
AB - The integration of unmanned aerial vehicles (UAVs) with 5G systems has revolutionized positioning technology, offering enhanced accuracy and reliability in challenging environments. We investigate the utilization of 5G downlink (DL) positioning reference signals (PRS) in conjunction with UAV assistance for 3-dimensional (3D) localization in urban macro environments. We introduce the generation of PRS and the corresponding frame structure, followed by their mapping for transmission via cyclic prefix orthogonal frequency division multiplexing (CP-OFDM). Subsequently, the user obtains the time difference of arrival (TDOA) by processing the PRS from each g-NodeB (gNB). An innovative UAV-assisted 3D localization method is then proposed, to address situations where the vertical localization accuracy is severely compromised. Finally, numerical results demonstrate that the proposed method enhances the horizontal localization accuracy by 47% and the vertical localization accuracy by 89%. Based on these findings, the optimal deployment of UAVs and gNBs selection strategy is also provided.
UR - https://www.scopus.com/pages/publications/105000819590
U2 - 10.1109/GLOBECOM52923.2024.10901510
DO - 10.1109/GLOBECOM52923.2024.10901510
M3 - 会议稿件
AN - SCOPUS:105000819590
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 4786
EP - 4791
BT - GLOBECOM 2024 - 2024 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Global Communications Conference, GLOBECOM 2024
Y2 - 8 December 2024 through 12 December 2024
ER -