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Measurement and Analysis of Quality of Service of Mobile Networks in Afghanistan – End User Perspective

Author

Listed:
  • Habibi, M. A.
  • Ulman, M.
  • Vaněk, J.
  • Pavlík, J.

Abstract

Enhanced Quality of Service (QoS) and satisfaction of mobile phone user are major concerns of a service provider. In order to manage network efficiently and to provide enhanced end – to – end Quality of Experience (QoE), operator is expected to measure and analyze QoS from various perspectives and at different relevant points of network. The scope of this paper is measurement and statistically analysis of QoS of mobile networks from end user perspective in Afghanistan. The study is based on primary data collected on random basis from 1,515 mobile phone users of five cellular operators. The paper furthermore proposes adequate technical solutions to mobile operators in order to address existing challenges in the area of QoS and to remain competitive in the market. Based on the result of processed data, considering geographical locations, population and telecom regulations of the government, authors recommend deployment of small cells (SCs), increasing number of regular performance tests, optimal placement of base stations, increasing number of carriers, and high order sectorization as proposed technical solutions.

Suggested Citation

  • Habibi, M. A. & Ulman, M. & Vaněk, J. & Pavlík, J., 2016. "Measurement and Analysis of Quality of Service of Mobile Networks in Afghanistan – End User Perspective," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(4), pages 1-12, December.
  • Handle: RePEc:ags:aolpei:254027
    DOI: 10.22004/ag.econ.254027
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    Cited by:

    1. Habibi, M.A. & Ulman, M. & Baha, B. & Stočes, M., 2017. "Measurement and Statistical Analysis of End User Satisfaction with Mobile Network Coverage in Afghanistan," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.

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    Keywords

    Research Methods/ Statistical Methods;

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