@inproceedings{74cf75195e9843ac9ce32fb060b333ec,
title = "Learning-Aided Realtime Performance Optimisation of Cognitive UAV-Assisted Disaster Communication",
abstract = "In this work, we propose efficient optimisation methods for relay-assisted unmanned aerial vehicles (UAVs) in cognitive radio networks (CRNs) to cope with the network destruction in the event of a natural disaster. Our model considers real- time optimisation in embedded UAV-CRN communication involved in recovering wireless communication services. Particularly, by conceiving advanced optimisation techniques and training deep neural networks, our solutions become capable of supporting real-time applications in disaster recovery scenarios. Our algorithms impose low computational complexity, hence, have a low execution time in solving real- time optimisation problems. Numerical results demonstrate the benefits of our approaches proposed for UAV-CRN",
author = "Duong, {Trung Q.} and Nguyen, {Long D.} and Tuan, {Hoang Duong} and Lajos Hanzo",
year = "2020",
month = feb,
day = "27",
doi = "10.1109/GLOBECOM38437.2019.9014313",
language = "English",
series = "IEEE Global Communications Conference (GLOBECOM): Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE IEEE Global Communications Conference 2019 (GLOBECOM 2019)",
address = "United States",
}