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

Jiahui Zhang, Zesong Fei, Xinyi Wang, Peng Liu, Jingxuan Huang, Guohua Wei, Weijie Yuant

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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-leaming 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.

Original languageEnglish
Title of host publication31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages685-689
Number of pages5
ISBN (Electronic)9789464593600
DOIs
Publication statusPublished - 2023
Event31st European Signal Processing Conference, EUSIPCO 2023 - Helsinki, Finland
Duration: 4 Sept 20238 Sept 2023

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference31st European Signal Processing Conference, EUSIPCO 2023
Country/TerritoryFinland
CityHelsinki
Period4/09/238/09/23

Keywords

  • Unmanned aerial vehicles
  • cooperative sensing
  • joint transmission
  • sensing-assisted communication

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Zhang, J., Fei, Z., Wang, X., Liu, P., Huang, J., Wei, G., & Yuant, W. (2023). Cooperative Sensing Assisted Joint Transmission for Ground-to-Air Communication Systems. In 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings (pp. 685-689). (European Signal Processing Conference). European Signal Processing Conference, EUSIPCO. https://doi.org/10.23919/EUSIPCO58844.2023.10289921