Robust Anti-Jamming Beamforming Scheme for Cellular-Connected Mobile UAV

Page view(s)
25
Checked on Jul 16, 2024
Robust Anti-Jamming Beamforming Scheme for Cellular-Connected Mobile UAV
Title:
Robust Anti-Jamming Beamforming Scheme for Cellular-Connected Mobile UAV
Journal Title:
2023 VTS Asia Pacific Wireless Communications Symposium (APWCS)
Publication Date:
01 September 2023
Citation:
Huang, J., Kurniawan, E., & Sun, S. (2023, August). Robust Anti-Jamming Beamforming Scheme for Cellular-Connected Mobile UAV. 2023 VTS Asia Pacific Wireless Communications Symposium (APWCS). https://doi.org/10.1109/apwcs60142.2023.10234032
Abstract:
Beamforming is a promising anti-jamming technique for cellular-connected unmanned aerial vehicle (UAV) system. It is challenging to design anti-jamming beamforming vectors for moving UAV with imperfect CSI. In this paper, we consider an uplink transmission from UAV to multi-antenna ground base station (BS) in the presence of a malicious ground jammer. We propose a deep learning based beamforming network (DLBF) to maximize the average data rate for moving UAV in the presence of a ground jammer. Complexity analysis shows that DLBF has linear complexity, which indicates good scalability in large antenna arrays. Extensive simulation results show that anti-jamming DLBF improves average data rate for moving UAV. The performance of DLBF advantage is robust under imperfect CSI and different antenna configurations.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the National Research Foundation / Infocomm Media Development Authority - Future Communications R&D Programme
Grant Reference no. : NA

This research / project is supported by the A*STAR - 5G-AMSUS-WP1
Grant Reference no. : NA
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN:
979-8-3503-1680-3
Files uploaded:

File Size Format Action
dlbf-apwcs-camera.pdf 1.20 MB PDF Request a copy