@inproceedings{a8722398b62e4b5faa725c61edd76217,
title = "Modeling and Mitigating 5G Wireless Downlink Interferences for Low-altitude Aerial vehicles",
abstract = "Future 5G networks will serve both terrestrial and aerial users, thanks to their network slicing and flexible numerology capabilities. The probability of Line-of-Sight (LoS) propagation will be intuitively higher for aerial users than for terrestrial users and this will provide a trade-off between increased capacity and increased interference. Our paper analyzes theoretically this trade-off and proposes solutions based on downlink multiantenna beamorming and joint optimization of the signal-to- interference ratio of multiple aerial users. It is shown that Multiple-Input-Single-Output solutions offer the most convenient tradeoff between complexity and capacity/interference performance. Simulation results are provided for mm Wave bands and low-altitude aerial vehicles.",
keywords = "autonomous aerial vehicles, communication links, drones, interference, Multiple-Input-Single-Output (MISO), Signal-to-Interference Ratio (SIR)",
author = "Wenbo Wang and Thilo Fath and Mikko Valkama and Lohan, {Elena Simona}",
year = "2020",
month = jun,
doi = "10.1109/ICL-GNSS49876.2020.9115534",
language = "English",
series = "2020 International Conference on Localization and GNSS, ICL-GNSS 2020 - Proceedings",
publisher = "IEEE",
editor = "Jari Nurmi and Elena-Simona Lohan and Joaquin Torres-Sospedra and Heidi Kuusniemi and Aleksandr Ometov",
booktitle = "2020 International Conference on Localization and GNSS, ICL-GNSS 2020 - Proceedings",
address = "United States",
note = "International Conference on Localization and GNSS ; Conference date: 02-06-2020 Through 04-06-2020",
}