Skip to main content
Log in

A Real-Time Monitoring and Intelligent Decisions-Making Platform for Enhanced Radio Resource Management in Wireless Cellular Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Congestion management in cellular networks is of prime importance for the mobile network operators of present and future generations. Nowadays cellular operators utilize improved planning techniques for enhanced capacity management, but on the other hand the number of mobile subscribers rapidly increases and additionally, new data-technologies for wireless access add extra traffic to the already overloaded networks, often causing serious problems to their performance. In this paper, we present a resource management system for increasing the efficiency of 2G and 2.5G cellular networks especially during overloading periods through the introduction of innovative extra elements. For validating the system's behavior, a set of trials have been performed focusing on alleviating both voice and data congestion problems. The results of these trials show important improvements on the network's capacity availability when the presented system intervenes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. IST-CAUTION, Deliverable D-4.2, “System Implementation Report”, November 2002.

  2. IST-CAUTION, Deliverable D-3.1, “Resource Management Application High Level Design”, November 2001.

  3. Bernhard H. Walke, Mobile Radio Networks: Networking and Protocols, John Wiley & Sons: New York, 1999.

    Google Scholar 

  4. S. Kyriazakos, G. Karetsos, E. Gkroustiotis, C. Kechagias and P. Fournogerakis, “Congestion Study and Resource Management in Cellular Networks of Present and Future Generation”, in IST Mobile Summit 2001, Barcelona, Spain, 9–12 September 2001.

  5. M. Barbera, C. Barbero, P.D. Zovo, F. Farinaccio, E. Gkrioustotis, S. Kyriazakos, I. Mura and G. Previti, “An Application of Case-Based Reasoning to the Adaptive Management of Wireless Networks”, Lecture Notes in Artificial Intelligence, Springer Verlag, 6th European Conference on Case Based Reasoning,Aberdeen, Scotland, 4–7 September 2002.

  6. IST-CAUTION, Deliverable D-5.2, “Report on GSM System Integration, Evaluation and Results”, November 2002.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kyriazakos, S.A., Karetsos, G.T., Mura, I. et al. A Real-Time Monitoring and Intelligent Decisions-Making Platform for Enhanced Radio Resource Management in Wireless Cellular Systems. Wireless Personal Communications 30, 77–95 (2004). https://doi.org/10.1023/B:WIRE.0000049392.43031.36

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:WIRE.0000049392.43031.36

Navigation