@inproceedings{15f8750780904339be547b4125c01cef,
title = "Optimal Joint Radar and Communications Beamforming for the Low-Altitude Airborne Vehicles in SAGIN",
abstract = "A symbolic feature that integrates the space, air and ground network components for service in challenging and remote areas is being envisaged with continuity and high mobility of the 6G mobile system. Simultaneously providing sensing and connectivity over the radio signal becomes essential to support the management of low-space air crafts in the mobile system with limited spectrum resources. In this paper, we investigate the optimal joint radar and communications beamforming scheme with the presence of the clutter to support the low-space airborne vehicles, e.g. unmanned aerial vehicles or drones that are essential components of Non-Terrestrial Networks. The proposed scheme achieves the optimal signal-to-clutter-plus-noise ratio of the sensing function while maintaining the performance of the predefined communications. The novel application of approximations and rank-reduction algorithms in this work maximizes the joint radar and communications performance, for a system model similar to the one that is solved with a local optimum solution in a previous work. The numeric simulation results show that our approach maintains low complexity while guaranteeing the global optimum beamforming solution.",
author = "Ali G{\"o}ktas and Mateen Ashraf and Mikko Valkama and Bo Tan",
year = "2023",
doi = "10.1109/WCNC55385.2023.10119080",
language = "English",
isbn = "978-1-6654-9123-5",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "IEEE",
booktitle = "2023 IEEE Wireless Communications and Networking Conference, WCNC 2023",
address = "United States",
note = "IEEE Wireless Communications and Networking Conference ; Conference date: 26-03-2023 Through 29-03-2023",
}