Advertisement

StaRe: Statistical Reasoning Tool for 5G Network Management

  • Kasper ApajalahtiEmail author
  • Eero Hyvönen
  • Juha Niiranen
  • Vilho Räisänen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9989)

Abstract

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.

Keywords

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.

References

  1. 1.
    3GPP: Telecommunication management; Self-Organizing Networks (SON); Concepts and requirements, [3Gpp. TS 32.500 Release 13, modified]. Technical report, 3rd Generation Partnership Project (3GPP), Feburary 2016. http://www.3gpp.org/DynaReport/32500.htm
  2. 2.
    Bennacer, L., Ciavaglia, L., Chibani, A., Amirat, Y., Mellouk, A.: Optimization of fault diagnosis based on the combination of Bayesian networks and case-based reasoning. In: Network Operations and Management Symposium (NOMS), pp. 619–622. IEEE (2012)Google Scholar
  3. 3.
    Ciocarlie, G.F., Connolly, C., Cheng, C.-C., Lindqvist, U., Nováczki, S., Sanneck, H., Naseer-ul-Islam, M.: Anomaly detection and diagnosis for automatic radio network verification. In: Agüero, R., Zinner, T., Goleva, R., Timm-Giel, A., Tran-Gia, P. (eds.) MONAMI 2014. LNICST, vol. 141, pp. 163–176. Springer, Heidelberg (2015)Google Scholar
  4. 4.
    Hämäläinen, S., Sanneck, H., Sartori, C.: LTE Self-Organising Networks (SON): Network Management Automation for Operational Efficiency, 1st edn. Wiley, New York (2012)Google Scholar
  5. 5.
    Hounkonnou, C., Fabre, E.: Empowering self-diagnosis with self-modeling. In: Proceedings of the 8th International Conference on Network and Service Management, pp. 364–370. International Federation for Information Processing (2012)Google Scholar
  6. 6.
    Qiao, X., Li, X., Chen, J.: Telecommunications service domain ontology: semantic interoperation foundation of intelligent integrated services. In: Telecommunications Networks-Current Status and Future Trends pp. 183–210 (2012)Google Scholar
  7. 7.
    Richardson, M., Domingos, P.: Markov logic networks. Mach. Learn. 62(1–2), 107–136 (2006)CrossRefGoogle Scholar
  8. 8.
    Russell, D.M., Maglio, P.P., Dordick, R., Neti, C.: Dealing with ghosts: managing the user experience of autonomic computing. IBM Syst. J. 42(1), 177–188 (2003)CrossRefGoogle Scholar
  9. 9.
    Stamatelatos, M., Grida Ben Yahia, I., Peloso, P., Fuentes, B., Tsagkaris, K., Kaloxylos, A.: Information model for managing autonomic functions in future networks. In: Pesch, D., Timm-Giel, A., Calvo, R.A., Wenning, B.-L., Pentikousis, K. (eds.) Monami. LNICST, vol. 125, pp. 259–272. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  10. 10.
    Uzun, A., Küpper, A.: OpenMobileNetwork: extending the web of data by a dataset for mobile networks and devices. In: Proceedings of the 8th International Conference on Semantic Systems, pp. 17–24. ACM (2012)Google Scholar
  11. 11.
    Yahia, B., Grida, I., Bertin, E., Crespi, N.: Ontology-based management systems for the next generation services: state-of-the-art. In: Third International Conference on Networking and Services, ICNS 2007, p. 40. IEEE (2007)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Kasper Apajalahti
    • 1
    Email author
  • Eero Hyvönen
    • 1
  • Juha Niiranen
    • 2
  • Vilho Räisänen
    • 3
  1. 1.Semantic Computing Research Group (SeCo)Aalto UniversityEspooFinland
  2. 2.Department of Mathematics and StatisticsUniversity of HelsinkiHelsinkiFinland
  3. 3.Nokia Networks ResearchEspooFinland

Personalised recommendations