전자교환기 품질관리를 위한 발생 호수와 재시도 호수 추정

Attempt and Retry Estimation for the Quality-Control of Electronic Switching System

  • 투고 : 2005.05.17
  • 심사 : 2005.06.14
  • 발행 : 2005.09.30

초록

The call-attempt behavior in a telecommunications service is influenced by the launch of new services and the choice of subscribers. On Feb 28, 2005, there was a disastrous shut-down of major local electronic switching systems (ESS) due to an abrupt increase of call-attempts. This incident turned out to be a strong proof that appropriate forecasting attempts are necessary not only for the capacity planning of network but also for the quality control of ESS. In this paper, forecasting models are first developed to estimate the daily ESS call-attempts and user retrial rates and then meaningful interpretations of results will follow. Finally future research topics will be presented.

키워드

참고문헌

  1. Ben-Akiva, M. and Gershenfeld, S. (1998), Mulri-fearured Products and Services:Analysing Pricing and Bundling Strategies, Journal of Forecasring 17, 175-196 https://doi.org/10.1002/(SICI)1099-131X(199806/07)17:3/4<175::AID-FOR690>3.0.CO;2-N
  2. Beweley, R and Fiebig, D. G. (1988), Esrimarion of Price Elasricirics for An International Telephone Demand Model, Journal of Industrial Economics 36(4), 393-409 https://doi.org/10.2307/2098446
  3. Craver, R F. (1976), An Esrimare of the Price Elasticity of Demand for International Telecommunications, Telecommunications Journal 43, 671-675
  4. Craver, R F. and Neckowitz, H. O, International Telecommunications: the Evolution of Demand Analysis, Telecommunication Journal 47, 217-223
  5. Frost, Victor S. and Benjamin Melamed (1994), Traffic Modeling for Telecommunications Networks, IEEE Communications Magazine, 70-81, March
  6. Greinder, M., Jobmann, M. and Kluppeelberg, C. (1999), Telecommunication traffic, queueing models, and subexponential distributions, Queueing Systems 33, 125-152 https://doi.org/10.1023/A:1019120011478
  7. Kunisawa, Kiyonori and Yasuichi Horibe (1986), Forecasting International Telecommunications Traffic by the Data Translation Method, International Journal of Forecasting, 2, 427 -434 https://doi.org/10.1016/0169-2070(86)90089-0
  8. Lago, A. M. (1970), Demand Forecasting Models ofInternational Telecommunications and Their Policy Implications, Journal of Industrial Economics 19, 6-21 https://doi.org/10.2307/2097533
  9. Malec, Henry A. (1994), Telecommunications Quality-A TQM Viewpoint, IEEE Journal on Selected Areas in Communications, 12(2), 221-227 https://doi.org/10.1109/49.272870
  10. Olabe,J. C. (1997), Modeling Video, Data, and Voice Traffic for Telecommunication Networks and its Impact in Simulation Studies, Simulation series 29(3), 127-131
  11. Rea,J. D. and Lage, G. M. (1978), Estimates of Demand Elasticities for International Telecommunications Services, Journal of Industrial Economics 26, 363-381 https://doi.org/10.2307/2098080
  12. Schroeder,J. (1999), Modeling Subscriber Traffic in Space-Based Telecommunications Systems, Simulation series 31(4), 193-198
  13. Schultz, W. Rand Triantis.J. E. (1982), An International Telephone Demand Study Using Pooled Estimation Techniques, Proceedings on American Statistical Association, Business and Economic Statistics Section, 537- 542
  14. Seitz, Neal B. (1994), Stephen Wolf, Stephen Voran, and Randy Bloomfield, User-Oriented Measures of Telecommunication Quality, IEEE Communications Magazine, 56-66
  15. Traffic Management for Electronic Switching Systems, KT, 1984.9
  16. Yatrakis, P. G. (1972), Determinants of the Demand for International Telecommunications, Telecommunications Journal, 39, 732-746