The Third Advanced International Conference on Telecommunications (AICT'07) 2007
DOI: 10.1109/aict.2007.30
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Modeling of Systems with Overflow Multi-Rate Traffic

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Cited by 12 publications
(5 citation statements)
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“…Call blocking is a key performance measure in telecommunication networks (Abdalla and Boucherie, 2002). Systems in telecommunication with overflow traffic have also been widely used (Głabowski et al, 2008). Boucherie and Mandjes (1998) derived a closed form solution of the equilibrium distribution to measure performance of cellular mobile communications networks.…”
mentioning
confidence: 99%
“…Call blocking is a key performance measure in telecommunication networks (Abdalla and Boucherie, 2002). Systems in telecommunication with overflow traffic have also been widely used (Głabowski et al, 2008). Boucherie and Mandjes (1998) derived a closed form solution of the equilibrium distribution to measure performance of cellular mobile communications networks.…”
mentioning
confidence: 99%
“…9) Fig. 5 Blocking probability in the alternative group with overflow multi-rate traffic, t 1 = 1 BBU, t 2 = 2 BBUs, t 3 = 6 BBUs, V = 120 BBUs, 6 Blocking probability in the alternative group with overflow multi-rate traffic, t 1 = 1 BBU, t 2 = 2 BBUs, t 3 = 6 BBUs, V = 120 BBUs,…”
Section: Figmentioning
confidence: 99%
“…Having the above in mind, we can come to a conclusion that the Kaufman-Roberts equations in their basic form (devised with the assumption of the exponential distribution of time gaps between the calls) cannot be applicable for determining call blocking coefficients in multi-rate traffic in the alternative group [7]. The present article aims at presenting a modification to the Kaufman-Roberts equations that would enable determining call blocking and loss coefficients that belong to different streams of multi-rate overflow traffic in the alternative group.…”
Section: Introductionmentioning
confidence: 97%
“…To determine the blocking probability of calls in the resource servicing multiservice overflow traffic, the Hayward method described in Section 2.1 was generalized in [43]. In the case of the multiservice systems, appropriate values of peakedness coefficients are introduced [17] into the Kaufman-Roberts model [34,35] that originally described multiservice systems without traffic overflow (i.e., systems with = 1 for all ):…”
Section: Modelling Of Multiservice Systems With Traffic Overflowmentioning
confidence: 99%