2004
DOI: 10.1239/aap/1103662965
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The stationary tail asymptotics in the GI/G/1-type queue with countably many background states

Abstract: We consider the asymptotic behaviour of the stationary tail probabilities in the discrete-time GI/G/1-type queue with countable background state space. These probabilities are presented in matrix form with respect to the background state space, and shown to be the solution of a Markov renewal equation. Using this fact, we consider their decay rates. Applying the Markov renewal theorem, it is shown that certain reasonable conditions lead to the geometric decay of the tail probabilities as the level goes to infi… Show more

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Cited by 63 publications
(87 citation statements)
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“…For the one-dimensional case, we extend existing results of Miyazawa and Zhao [24] from the case of countably many background states to real-valued background states. This allows us to consider precise asymptotics of a system with autoregressive input.…”
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confidence: 59%
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“…For the one-dimensional case, we extend existing results of Miyazawa and Zhao [24] from the case of countably many background states to real-valued background states. This allows us to consider precise asymptotics of a system with autoregressive input.…”
mentioning
confidence: 59%
“…We defer the proof of this lemma to Appendix E since it is similar to Lemma 4.2 of [24]. We are now ready to present a main result of this subsection.…”
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confidence: 96%
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“…On the other hand, Miyazawa [6] As other related works, Miyazawa [7] and Miyazawa and Zhao [8] finite Ii], Takine [13] (12) A(e))ldOl,=, < 1.…”
Section: Nii-electronic Library Servicementioning
confidence: 99%