The goal of this paper is to propose the analysis method of processes in an unreliable telecommunication system by the means of Markov changes. Moreover, our proposed analysis method based on macro states of Markov chains is much simpler than the detailed Markov processes applied previously by authors for analysis of such unreliable telecommunication systems [1-8]. A lot of effort has gone into the study of unreliable telecommunication systems. A rich literature exists in the area of data packets transmission process analysis in the telecommunication system by the means of Markov chains [9]. The majority of them analyze the processes in the system using detailed Markov chains [6, 7]. These papers present some examples of elementary Markov model for unreliable systems. Complex systems give rise to large and complicated Markov models. Several techniques are used for the automatic generation for large Markov chains models and balance equations [8, 10]. The literature on the research topic has hundreds of papers with exact analysis of such systems. One possible way to solve this problem is to use macro state Markov models. An implementation of macro state Markov model can simplify the evaluation of performance measures of complex systems, such as telecommunication networks. The present paper, on the other hand, obtains exact analytical results for the evaluation of telecommunication system performance measures using the investigation method based on macro state Markov process. We extend the application of Markov model for unreliable system investigation. The paper is organized as follows. The section I introduces to the necessity of the macro state Markov model for telecommunication system investigation. The unreliable data packet loss system with two data packet transmission channels is presented in the section II. The analysis, employing macro states Markov chains, of system with two unreliable channels loss system is described in the section III. The comparison of system performance measures is presented and discussed in the section IV. In the section V we give our conclusions.
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