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Increasing the automation of radio network control
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology.
2003 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

The efficient utilization of radio frequencies is becoming more important with new technology, new telecom services and a rapidly expanding market. Future systems for radio network management are therefore expected to contain more automation than today's systems.

This thesis describes a case study performed at a large European network operator. The first purpose of this study was to identify and describe elements in the current environment of telecommunication radio network management, in order to draw conclusions about the impact of a higher degree of automation in future software systems for radio network management.

The second purpose was to identify specific issues for further analysis and development.

Based on a case study comprising eight full-day observations and eleven interviews with the primary user category, and their colleagues on other teams, this thesis:

  • Describes the work environment by presenting findings regarding task performance and the use of knowledge, qualities of current tools and the expected qualities of new technology.
  • Based on the empirical findings, it concludes that full automation is not feasible at this time, but that a supervisory control system including both a human operator and a machine is therefore the best solution.
  • Describes the design considerations for such a supervisory control system for this domain.
  • Based on the finding that users allocate function in order to learn about a tool, it introduces the concept of adaption through praxis, as a way of introducing a supervisory control system which includes automation.
  • In conclusion, it discusses research issues for future studies in this area.
Place, publisher, year, edition, pages
Linköping: Linköpings universitet , 2003. , 167 p.
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1052
National Category
Computer Science
URN: urn:nbn:se:liu:diva-30753Local ID: 16369ISBN: 91-7373-768-2OAI: diva2:251576
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-11-07

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Hedenskog, Åsa
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CSELAB - Cognitive Systems Engineering LaboratoryThe Institute of Technology
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