Cooperative Sensing Assisted Joint Transmission for Ground-to-Air Communication Systems

Jiahui Zhang1; Zesong Fei1; Xinyi Wang1; Peng Liu1; Jingxuan Huang1; Guohua Wei1; Weijie Yuan2

10.23919/EUSIPCO58844.2023.10289921

2023

2219-5491

979-8-3503-2811-0

2023 31st European Signal Processing Conference (EUSIPCO)

685-689

4-8 Sept. 2023

Helsinki, Finland

Cooperative sensing and cooperative communications are viewed as promising techniques for improving the sensing and communication performance by utilizing the space diversity. In this paper, we investigate the cooperative-sensing assisted joint transmission for a ground-to-air system. By cooperatively processing the echoes from different UAVs, we propose a cooperative sensing scheme based on the extended Kalman filtering mechanism. To improve the system sum-rate based on the cooperative tracking information, we jointly optimize the transmit beam power of different BSs via a teaching-and- learning based optimization technique. Numerical results show that compared with the conventional separate sensing scheme, the proposed cooperative sensing scheme is able to significantly improve the positioning accuracy, thereby improving the communication performance.

Unmanned aerial vehicles cooperative sensing sensing-assisted communication joint transmission

其他

EI

20234815128696

Antennas ; Cooperative communication ; Kalman filters ; Vehicle to vehicle communications ; Vehicle transmissions

Mechanical Transmissions:602.2 ; Aircraft, General:652.1 ; Radio Systems and Equipment:716.3 ; Data Communication, Equipment and Techniques:722.3

IEEE

1.School of Information and Electronics, Beijing Institute of Technology (BIT), Beijing, China
2.Department of Electrical and Electronics Engineering, Southern University of Science and Technology, Shenzhen, China

Jiahui Zhang,Zesong Fei,Xinyi Wang,et al. Cooperative Sensing Assisted Joint Transmission for Ground-to-Air Communication Systems[C],2023:685-689.