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PERFORMANCE ANALYSIS OF THE SELECTIVE REPEAT ARQ PROTOCOL.

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dc.contributor.author Anagnostou Miltiades, E en
dc.contributor.author Protonotarios Emmanuel, N en
dc.date.accessioned 2014-03-01T01:06:38Z
dc.date.available 2014-03-01T01:06:38Z
dc.date.issued 1986 en
dc.identifier.issn 00961965 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/9528
dc.subject Data Transmission en
dc.subject Discrete Time en
dc.subject Error Control en
dc.subject Geometric Distribution en
dc.subject Performance Analysis en
dc.subject Queue Length en
dc.subject Stochastic Model en
dc.subject Transmission Error en
dc.subject Markov Chain en
dc.subject Selective Repeat en
dc.subject.other DIGITAL COMMUNICATION SYSTEMS en
dc.subject.other PROBABILITY - Random Processes en
dc.subject.other AUTOMATIC REPEAT REQUEST (ARQ) en
dc.subject.other ITERATIVE COMPUTATION en
dc.subject.other MARKOV STATE MODEL en
dc.subject.other COMPUTER NETWORKS en
dc.title PERFORMANCE ANALYSIS OF THE SELECTIVE REPEAT ARQ PROTOCOL. en
heal.type journalArticle en
heal.identifier.primary 10.1109/TCOM.1986.1096499 en
heal.identifier.secondary http://dx.doi.org/10.1109/TCOM.1986.1096499 en
heal.publicationDate 1986 en
heal.abstract Two different methods for the queue length and delay analysis are presented. The system is modeled as a discrete time queue with infinite buffer storage. Transmission errors are considered to be independent, and block arrivals may follow an arbitrary interarrival time distribution. The first method uses an exact Markov state model, on which the theory of absorbing and ergodic Markov chains is applied, and leads to a computational algorithm. The second method, which is based on a specific assumption, uses a substantially simpler stochastic model and results in equations which are easily solved by means of iterative computation. In the case of geometrically distributed interarrival times, simple analytical formulas are extracted. The results are compared to the exact ones (that is, those obtained by the first method or by extended simulation runs) and surprising agreement is observed. en
heal.journalName IEEE Transactions on Communications en
dc.identifier.doi 10.1109/TCOM.1986.1096499 en
dc.identifier.volume COM-34 en
dc.identifier.issue 2 en
dc.identifier.spage 127 en
dc.identifier.epage 135 en


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