한국경영과학회지 (Journal of the Korean Operations Research and Management Science Society)

  • 제28권2호
  • /
  • Pages.139-155
  • /
  • 2003
  • /
  • 1225-1119(pISSN)
  • /
  • 2733-4759(eISSN)
한국경영과학회 (The Korean Operations Research and Management Science Society)
권호 표지

이동통신 멀티미디어 데이터서비스의 트래픽 특성 모델링 및 성능분석

Traffic Modeling and Performance Analysis of Mobile Multimedia Data Services

  • 정용주 (부산외국어대학교 정보시스템학과) ;
  • 백천현 (동의대학교 정보산업공학과) ;
  • 김후곤 (경성대학교 경영정보학과) ;
  • 최택진 (LG텔레콤 기술기획팀) ;
  • 양원석 (LG텔레콤 기술기획팀) ;
  • 황흥석 (동의대학교 정보산업공학과)
  • 발행 : 2003.06.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The aim of this study is to identify the data traffic capacity of 3G mobile communication networks, especially of cdma2000-1X networks. Three-layered ON/OFF traffic model is used to describe the dynamics of data traffics and the process of data transmission such as packet scheduling. We construct a simulator fully incorporating packet handling process of cdma2000-lX data network as well as three-layered ON/OFF traffic model describing the behavior of source data traffics. To get influence of traffic parameters on performance measures, the extensive simulations were performed for several data sets which are obtained from real trace data or previous studies. The experimental results show that the engineered throughput satisfying QoS criteria is approximately 25% of total capacity. Finally, some proposals to improve the system capacity are followed.

키워드

참고문헌

  1. IEEE/ACM Trans. Networking v.2 no.1 On the self-similar nature of Ethernet traffic (extended version) W.E.Leland;M.Taqqu;W.Willinger;D.V.Wilson https://doi.org/10.1109/90.282603
  2. Proc. of ACM SIGMETRICS '96 Self-simliarity in world wide web traffic : evidence and possible causes M.E.Crovella;A.Bestavros
  3. IEEE/ACM Trans. Networking v.3 Wide-area traffic : the failure of Poisson modeling V.Paxon;S.Folyd https://doi.org/10.1109/90.392383
  4. International Conference of Networking Protocol '99(ICNP '99) A Behavioral Model of Web Traffic H.Choi;J.Limb
  5. The Telecommunications Review v.10 A short tutorial on fractals and internet traffic T.B.Fowler
  6. IEEE Trans. Communications v.39 Investigating dependence in packet queues with the index of dispersion for work K.W.Fendick,;V.R.Saksena;W.Whitt https://doi.org/10.1109/26.134013
  7. Proceedings of ACM SIGMETRICS '98 Generating representative workloads for network and server performance evaluation P.Barford;P.;M.Crovella
  8. Statistics for Long-Memory Processes J.Beran
  9. Operations Research v.47 The importance of power-tail distributions for modeling queuing system M.Greiner;M.Jobmann;L.Lipsky https://doi.org/10.1287/opre.47.2.313
  10. Technial Report no.261 Source traffic modeling of wireless applications D.Staehle,;K.Leibnits;P.Tran-Gia
  11. IEEE Trans. Communications v.44 no.10 A multiservice user discriptive traffic source model M.Anagnostou(et al.)
  12. IEEE Comm, Letters v.1 no.2 A traffic model for non real-time data users in a wireless radio network E.Anderlind;J.Zander
  13. Frontiers in Queuing : Models, Methods and Problems Stochastic modeling of traffic processes D.L.Jagerman;B.Melamed;W.Willinger;J.H.Dshalalow(ed.)
  14. PhD Thesis Estimation, testing and prediction for self-similar and related process J.Beran
  15. IEEE Trans. Information Theory v.44 no.1 Wavelet analysis of long-range dependent traffic P.Abry;D.Veitch https://doi.org/10.1109/18.650984
  16. Annals of Statistics v.3 A simple approach to inference about the tail of a distribution B.Hill https://doi.org/10.1214/aos/1176343247
  17. SIAM Review 10 Fractional Brownian motion, fractional noises and applications B.B.Mandelbrot;J.W.Van Ness
  18. IEEE ACM Trans. Networking v.5 no.1 Self-similarty through high variability : statistical analysis of Ethernet LAN traffic at the source level W.Willinger;M.S.Taqqu;R.Sherman;D.V.Wilson https://doi.org/10.1109/90.554723
  19. Technical Report TR-COSC 03/98 A comparative study of generators of sysnthetic self-similar teletraffic H.J.Jeong;D.McNickle;K.Paqlikowski
  20. Performance Evaluation v.31 Fitting mixtures of exponentials to long-tail distributions to analyze network performance A.Feldman;W.Whitt https://doi.org/10.1016/S0166-5316(97)00003-5
  21. Technical Report TR 101 112 v3.2.0 Universal Mobile Telecommunication System (UMTS) : selection procedures for the choice of radio transmission technologies of the UMTS
  22. IEEE Comm Magazine v.36 no.8 Broadband traffic modeling : simple solutions to hard problems R.G.Addie;M.Zukerman;T.D.Neame
  23. The Telecommunication Review Analyzing the waiting time process in internet queueing systems with the transform approximation method M.J.Fischer;D.Gross;D.M.Bevilacqua Masi;J.F.Shortle
  24. The Radio cdma2000 RTT Candidate submission, TR45-5 Radio Communication Study Group ITU : US TG 8/1
  25. Computer Networks v.38 Adaptive Performance Management for UMTS Networks Adaptive performance management for universal mobile telecommunications system networks Christoph Lindemann;Marco Lohmann;Axel Thummler https://doi.org/10.1016/S1389-1286(01)00265-1
  26. Telecommunication Review v.11 no.6 Ethernet 트래픽의 장기간 의존성 및 Self-similar 트래픽소스 모델링에 관한 연구 김동일;김창호
  27. Proc. of SPIE International Conference on Performance and Control of Network Systems On the Effect of Traffic Self-similarity on Network Performance Kihong Park;Gitae Kim;Mark Crovella
  28. Proc. Of Int. Conference on Distributed Computing Systems(ICDCS) Performance Analysis of the General Packed Radio Service Chistoph Lindemann;Axel Thummler
  29. IEEE JSAC v.16 no.3 A Markovian approach for modeling packet traffic with long-range dependence A.T.Anderson;B.F.Nielsen
  30. Proc. of the IEEE Globecom 2001 Traffic modeling and cahracteristics for UMTS networks A.Klemm;C.Lindemann;M.Lohmann
  31. Master Thesis of Carleton University Cellular Data Traffic : Analysis Models, and Scenarios Xinan Zhou
  32. IEICE Trans. Commun. v.R85-B no.1 Performance Evaluation of a Mobile Servicing Data Traffics in cdma 2000 Bong Dae Choi;Yeon Hwa Chung;Chang-sun Choi
  33. www.3gpp.org.
  34. www.3gpp2.org.