TY - GEN
T1 - Integrated Radar-Aided Localization and QoS-Aware Communications for UAV-UGV Cooperative Systems
AU - Xu, Xiangqian
AU - Qian, Yingjing
AU - Zhang, Renmin
AU - Yang, Xi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - The complementaries between unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) promise divers benefits for unmanned cooperation systems. With the assistance of a UAV, the UGVs can be deployed to the desired destinations when the communication infrastructures are not available such as post-disaster rescue and inspection tasks in depopulated area. Specifically, an UAV travels around UGVs in turns to send commands and collects information from UGVs. In this work, the millimeter-wave (mmWave) communication is integrated into the UAV-UGV cooperative system. We consider a joint radar-aided downlink transmission for the high-mobile cooperative systems. Furthermore, a solution is proposed for jointly designing the beamforming and power allocation using location information. We also derive the Cramér-Rae lower bound (CRLB) of the estimation problem. To guarantee the quality-of-service (QoS) of each UGV, we develop a QoS-aware power allocation algorithm using the difference-of-two-convex-function (D.C.) programming. Extensive computer simulations validate the effectiveness of our proposed location-aware beamforming communications in the UAV-UGV cooperative system.
AB - The complementaries between unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) promise divers benefits for unmanned cooperation systems. With the assistance of a UAV, the UGVs can be deployed to the desired destinations when the communication infrastructures are not available such as post-disaster rescue and inspection tasks in depopulated area. Specifically, an UAV travels around UGVs in turns to send commands and collects information from UGVs. In this work, the millimeter-wave (mmWave) communication is integrated into the UAV-UGV cooperative system. We consider a joint radar-aided downlink transmission for the high-mobile cooperative systems. Furthermore, a solution is proposed for jointly designing the beamforming and power allocation using location information. We also derive the Cramér-Rae lower bound (CRLB) of the estimation problem. To guarantee the quality-of-service (QoS) of each UGV, we develop a QoS-aware power allocation algorithm using the difference-of-two-convex-function (D.C.) programming. Extensive computer simulations validate the effectiveness of our proposed location-aware beamforming communications in the UAV-UGV cooperative system.
KW - D.C. Programming
KW - Location-Aware Beamforming
KW - Power Allocation
KW - UAV-UGV Cooperative System
UR - https://www.scopus.com/pages/publications/85123368037
U2 - 10.1109/WCSP52459.2021.9613182
DO - 10.1109/WCSP52459.2021.9613182
M3 - 会议稿件
AN - SCOPUS:85123368037
T3 - 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
BT - 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th International Conference on Wireless Communications and Signal Processing, WCSP 2021
Y2 - 20 October 2021 through 22 October 2021
ER -