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An experimental assessment of channel selection in cognitive radio networks

Author
Umbert, A.; Sallent, J.; Perez-Romero, J.; Sanchez, J.; Collins, D.; Kist, M.
Type of activity
Presentation of work at congresses
Name of edition
14th International Conference on Artificial Intelligence Applications and Innovations
Date of publication
2018
Presentation's date
2018-05
Book of congress proceedings
Artificial Intelligence Applications and Innovations : AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25-27, 2018: proceedings
First page
78
Last page
88
Publisher
Springer
DOI
https://doi.org/10.1007/978-3-319-92016-0_8 Open in new window
Project funding
Efficient mobile networks for extending services to new professional sectors
Softwarization and automatic optimization of multi-tenant 5G radio access networks
Repository
http://hdl.handle.net/2117/125828 Open in new window
URL
https://link.springer.com/chapter/10.1007/978-3-319-92016-0_8 Open in new window
Abstract
The management of future networks is expected to fully exploit cognitive capabilities that embrace knowledge and intelligence, increasing the degree of automation, making the network more self-autonomous and enabling a personalized user experience. In this context, this paper presents the use of knowledge-based capabilities through a specific lab experiment focused on the Channel Selection functionality for Cognitive Radio Networks (CRN). The selection is based on a supervised classification tha...
Citation
Umbert, A., Sallent, J., Perez-Romero, J., Sanchez, J., Collins, D., Kist, M. An experimental assessment of channel selection in cognitive radio networks. A: International Conference on Artificial Intelligence Applications and Innovations. "Artificial Intelligence Applications and Innovations : AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25-27, 2018: proceedings". Berlín: Springer, 2018, p. 78-88.
Keywords
Channel selection, Classification, Cognitive radio
Group of research
GRCM - Mobile Communication Reserach Group

Participants