Utilizing Uncertainty of Time Series Prediction in Spectrum Sharing with Radar Systems
Author:
Affiliation:
1. University of Oulu,Centre for Wireless Communications (CWC),Finland
2. Tokyo University of Agriculture and Technology (TUAT),Department of Electrical and Electronic Engineering,Japan
Funder
Infotech Oulu
Academy of Finland
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9983661/9983662/09983725.pdf?arnumber=9983725
Reference14 articles.
1. Dropout as a bayesian approximation: Representing model uncertainty in deep learning;gal;Proceedings of International Conference on Machine Learning (ICML),2016
2. Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
3. Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding
4. Wireless Traffic Usage Forecasting Using Real Enterprise Network Data: Analysis and Methods
5. Cellular systems and rotating radar using the same spectrum;peha;Proceedings of International Symposium on Advance Radio Technologies (ISART),2011
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