Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials
A novel approximate technique is proposed for the estimation of call blocking probabilities in cellular mobile telephony networks where call blocking triggers customer retrials. The approximate analysis technique is based on Markovian models with state spaces whose cardinalities are proportional to...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2001-02, Vol.19 (2), p.332-346 |
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creator | Marsan, M.A. de Carolis, G. Leonardi, E. Lo Cigno, R. Meo, M. |
description | A novel approximate technique is proposed for the estimation of call blocking probabilities in cellular mobile telephony networks where call blocking triggers customer retrials. The approximate analysis technique is based on Markovian models with state spaces whose cardinalities are proportional to the maximum number of calls that can be simultaneously in progress within cells. The accuracy of the approximate technique is assessed by comparison against results of detailed simulation experiments, results of a previously proposed Markovian analysis approach, and upper and lower bounds to the call blocking probability. Numerical results show that the proposed approximate technique is very accurate, in spite of the remarkably small state spaces of the Markovian models. |
doi_str_mv | 10.1109/49.914511 |
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subjects | Analytical models Approximation Associate members Cell phones Cellular Cellular communication Cellular networks Cellular telephony Computer simulation Context modeling GSM Intelligent networks Land mobile radio cellular systems Lower bounds Mathematical models Queueing analysis State-space methods Telephony |
title | Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials |
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