StaRe: Statistical Reasoning Tool for 5G Network Management

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9989)


In operations of increasingly complex telecommunication networks, characterization of a system state and choosing optimal operation in it are challenges. One possible approach is to utilize statistical and uncertain information in the network management. This paper gives an overview of our work in which a Markov Logic Network model (MLN) is used for mobile network analysis with an RDF-based faceted search interface to monitor and control the behavior of the MLN reasoner. Our experiments, based on a prototype implementation, gives promising results of utilizing an ontology and MLN model in network status characterization, optimization and visualization.


Mobile Network Network Management Channel Quality Indicator Link Open Data Action Proposal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Semantic Computing Research Group (SeCo)Aalto UniversityEspooFinland
  2. 2.Department of Mathematics and StatisticsUniversity of HelsinkiHelsinkiFinland
  3. 3.Nokia Networks ResearchEspooFinland

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