2004
DOI: 10.1023/b:ques.0000039885.12490.02
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A Discrete-Time Geo/G/1 Retrial Queue with General Retrial Times

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2005
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Cited by 86 publications
(37 citation statements)
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“…Let us observe that the linear policy generalizes to the classical and constant policies, and the general policy generalizes to the constant policy. Atencia and Moreno [6] extend the general retrial policy in continuous-time to the discrete-time systems and the rest of papers about discrete-time retrial queues [3, 7-10, 12, 20, 21, 23, 25, 28] assumes a retrial policy analogous to the classical one in continuous-time; to be exact, they suppose the retrial time (the time interval between two consecutive attempts by the same customer) geometrically distributed with probability 1 − r 2 , where r 2 is the probability that a repeated customer does not make a retrial in a slot. In this context each blocked customer generates a stream of repeated requests independently of the rest of customers in the retrial group.…”
Section: Introductionmentioning
confidence: 98%
“…Let us observe that the linear policy generalizes to the classical and constant policies, and the general policy generalizes to the constant policy. Atencia and Moreno [6] extend the general retrial policy in continuous-time to the discrete-time systems and the rest of papers about discrete-time retrial queues [3, 7-10, 12, 20, 21, 23, 25, 28] assumes a retrial policy analogous to the classical one in continuous-time; to be exact, they suppose the retrial time (the time interval between two consecutive attempts by the same customer) geometrically distributed with probability 1 − r 2 , where r 2 is the probability that a repeated customer does not make a retrial in a slot. In this context each blocked customer generates a stream of repeated requests independently of the rest of customers in the retrial group.…”
Section: Introductionmentioning
confidence: 98%
“…It is well known that in the field of telecommunications modern systems are more digital than analogue, hence the studies of the modern communication systems are based more on discrete-time analysis. But, as far as we know, there are no results for the discrete retrial G-queueing systems although the analysis of discrete-time retrial queueing models has received considerable attention in the literature over the past few years (see [1,10,12,[29][30][31] and references therein).…”
Section: Introductionmentioning
confidence: 99%
“…The performance analysis assumes a stationary regime exists, but stability conditions are not covered. Related papers [7,8] consider steady-state performance of discrete-time retrial systems. A rather complete bibliography on research related to retrial queues is in [3][4][5].…”
Section: Introductionmentioning
confidence: 99%