The Method of Markov Processes with Macro States for Analysis of Unreliable Telecommunication Systems

Authors

  • R. Rindzevicius Kaunas University of Technology
  • P. Tervydis Kaunas University of Technology
  • A. Daunys Kaunas University of Technology

DOI:

https://doi.org/10.5755/j01.eee.118.2.1177

Abstract

Our proposed analysis method of macro state Markov model has the advantages over detailed state Markov model. The data packet loss in telecommunication system with the unreliable data packet transmission links is modeled as a continuous time and the discrete states Markov process. The advantages of the macro state Markov model method were demonstrated by modeling two channels unreliable telecommunication system with losses and providing some numerical illustrations. The application of the proposed method for analysis of an unreliable data packet transmission system and queueing system is discussed. All investigated systems are presented according Kendall’s notation. On the basis of the reached outcomes it is possible to say that there are negligible differences between the results of macro and detailed states Markov models for the wide value parameters of investigated unreliable loss system M/M/2/2. Ill. 7, bibl. 10 (in English; abstracts in English and Lithuanian).

DOI: http://dx.doi.org/10.5755/j01.eee.118.2.1177

Downloads

Published

2012-02-07

How to Cite

Rindzevicius, R., Tervydis, P., & Daunys, A. (2012). The Method of Markov Processes with Macro States for Analysis of Unreliable Telecommunication Systems. Elektronika Ir Elektrotechnika, 118(2), 73-76. https://doi.org/10.5755/j01.eee.118.2.1177

Issue

Vol. 118 No. 2 (2012)

Section

TELECOMMUNICATIONS ENGINEERING

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.