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Conflict resolution in mobile networks: a self-coordination framework based on non-dominated solutions and machine learning for data analytics [Application notes]

Author
Moysen, J.; Garcia-Lozano, M.; Giupponi, L.; Ruiz, S.
Type of activity
Journal article
Journal
IEEE computational intelligence magazine
Date of publication
2018-05-01
Volume
13
Number
2
First page
52
Last page
64
DOI
https://doi.org/10.1109/MCI.2018.2807038 Open in new window
Repository
http://hdl.handle.net/2117/120808 Open in new window
URL
https://ieeexplore.ieee.org/document/8335833/ Open in new window
Abstract
Self-organizing network (SON) is a well-known term used to describe an autonomous cellular network. SON functionalities aim at improving network operational tasks through the capability to configure, optimize and heal itself. However, as the deployment of independent SON functions increases, the number of dependencies between them also grows. This work proposes a tool for efficient conflict resolution based on network performance predictions. Unlike other state-of-theart solutions, the proposed ...
Citation
Moysen, J., Garcia-Lozano, M., Giupponi, L., Ruiz, S. Conflict resolution in mobile networks: a self-coordination framework based on non-dominated solutions and machine learning for data analytics [Application notes]. "IEEE computational intelligence magazine", 1 Maig 2018, vol. 13, núm. 2, p. 52-64.
Keywords
Big Data, Cellular networks, Complexity theory, Computaional modeling, Handover, Optimization, Predictive models, Self-organizing networks
Group of research
WiComTec - Wireless Communications and Technologies Research Group

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