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Knowledge-based 5G radio access network planning and optimization

Author
Perez-Romero, J.; Sallent, J.; Ferrús, R.; Agusti, R.
Type of activity
Presentation of work at congresses
Name of edition
13th International Symposium on Wireless Communication Systems
Date of publication
2016
Presentation's date
2016-09-23
Book of congress proceedings
ISWCS'16: Thirteenth International Symposium on Wireless Communication Systems: 20-23 September 2016: Poznan, Poland
First page
359
Last page
365
DOI
https://doi.org/10.1109/ISWCS.2016.7600929 Open in new window
Project funding
Efficient mobile networks for extending services to new professional sectors
Small cElls coordinAtion for Multi-tenancy and Edge services
Repository
http://hdl.handle.net/2117/97208 Open in new window
URL
http://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/document/7600929/ Open in new window
Abstract
Self-Organizing Network (SON) functionalities in forthcoming 5G systems stand as a promising field for the fertilization of Artificial Intelligence (AI) mechanisms. In this respect, this paper analyzes how SON functionalities for radio access network planning and optimization in future 5G systems can be built upon AI concepts. A framework is presented that processes input data from multiple sources and extracts, through learning-based classification, prediction and clustering models, relevant kn...
Citation
Perez-Romero, J., Sallent, J., Ferrús, R., Agusti, R. Knowledge-based 5G radio access network planning and optimization. A: International Symposium of Wireless Communication Systems. "ISWCS'16: Thirteenth International Symposium on Wireless Communication Systems: 20-23 September 2016: Poznan, Poland". Poznan: 2016, p. 359-365.
Keywords
5G, Artificial intelligence, Knowledge discovery, Self-organizing networks
Group of research
CCABA - Advanced Broadband Communications Center
GRCM - Mobile Communication Reserach Group

Participants