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Mobile 5G Network Management Based on Semantic Computing

Project Goals

This is a joint research and development project with Nokia Networks studying how semantic computing can be utilized in managing 5G mobile networks.

This project is part of the Nokia Center for Advanced Research (NCAR) activities and has been financed by Tekes and Nokia.

See publications below for further information.

Contact Persons

M.Sc. (Tech.) Kasper Apajalahti, Aalto University and Nokia Networks Research

Dr. Vilho Räisänen, Nokia Bell Labs

Prof. Eero Hyvönen, Aalto University



Kasper Apajalahti, Eero Hyvönen, Juha Niiranen, Vilho Räisänen: Combining ontological modelling and probabilistic reasoning for network management. Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 1, pp. 63-76, IOS Press, 2017. bib pdf link
Advanced automation is needed in future mobile networks to provide adequate service quality economically and with high reliability. In this paper, a system is presented that takes into account the network context, analyses uncertain information, and infers network configurations by means of probabilistic reasoning. The system introduced in this paper is an experimental platform integrating a mobile network simulator, a Markov Logic Network (MLN) model, and an OWL 2 ontology into a runtime environment that can be monitored via a Resource Description Framework (RDF) -based user interface. In this approach, the OWL ontology contains a semantic representation of the relevant concepts, and the MLN model evaluates elements of uncertain information. Experiments based on a prototype implementation demonstrate the value of semantic modelling and probabilistic reasoning in network status characterization, optimization, and visualization.
Kasper Apajalahti, Juha Niiranen, Shubhan Kapoor and Vilho Räisänen: Sharing Performance Measurement Events Across Domains. IFIP/IEEE International Symposium on Integrated Network Management, Proceedings, pp. 463-469, IEEE, Lisbon, Portugal, May, 2017. bib pdf link
Abstract—Network management activities, such as fault analysis and configuration management, are eventually related to changes in network measurements. Some measurement event might be either a trigger or objective of a management activity. We argue that sharing the semantics of performance data across networks provides a basis for more advanced automation. This paper presents an ontology-based system for sharing information about network measurements across network domains. The represented information contains correlations and human-defined mappings between network measurements and the system is based on semantic reasoning that identifies dependencies which arise by combining local and shared information.We demonstrate the usage of the system in a Long Term Evolution (LTE) network domain. Our experiments from an LTE simulator and LTE test network show that a combination of correlations, human defined mappings, and ontological reasoning produces useful cross-domain information that can be accessed with ontology queries.


Haitao Tang, Kaj Stenberg, Kasper Apajalahti, Juha Niiranen and Vilho Räisänen: Automatic Definition and Application of Similarity Measures for Self-Operation of Network. Proc. 8th EAI International Conference on Mobile Networks and Management, Springer-Verlag, Abu Dhabi, Oct, 2016. bib pdf
Kasper Apajalahti, Eero Hyvönen, Juha Niiranen, Vilho Räisänen: StaRe: Statistical Reasoning Tool for 5G Network Management. The Semantic Web: ESWC 2016 Satellite Events (Harald Sack, Giuseppe Rizzo, Nadine Steinmetz, Dunja Mladenić, Sören Auer and Christoph Lange (eds.)), Springer-Verlag, May, 2016. bib pdf
Kasper Apajalahti, Eero Hyvönen, Juha Niiranen, Vilho Räisänen: Combining Ontologies and Markov Logic Networks for Statistical Relational Mobile Network Analysis. Proceedings of the 1st Workshop on Semantic Web Technologies for Mobile and Pervasive Environments (SEMPER), CEUR Workshop Proceedings, Heraklion, Crete, Greece, May, 2016. Vol 1588. bib pdf link
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