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

  • Authors:

  • Sofoklis A. Kyriazakos;George T. Karetsos;Ivan Mura;Evangelos Gkroustiotis;Nikolaos Papaoulakis;Charis Kechagias;Kostas Vlahodimitropoulos

  • Affiliations:

  • Telecommunications Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Heroon Polytechniou Str., 15773 Zografou, Greece;Telecommunications Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Heroon Polytechniou Str., 15773 Zografou, Greece. karetsos@cs.ntua ...;Motorola Technology Center, GSG-Italy, Via Cardinal Massaia, 83, 10147 Torino, Italy;Telecommunications Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Heroon Polytechniou Str., 15773 Zografou, Greece;Telecommunications Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Heroon Polytechniou Str., 15773 Zografou, Greece;Telecommunications Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9, Heroon Polytechniou Str., 15773 Zografou, Greece;Cosmote Mobile Telecommunications, 90, Marinou Antypa Str., 14121 N. Irakleio, Greece

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2004

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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.