Title :
Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials
Author :
Marsan, Marco Ajmone ; De Carolis, Giovanni ; Leonardi, Emilio ; Cigno, Renato Lo ; Meo, Michela
Author_Institution :
Dipartimento di Elettronica, Politecnico di Torino, Italy
fDate :
2/1/2001 12:00:00 AM
Abstract :
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
Keywords :
Markov processes; approximation theory; cellular radio; probability; queueing theory; radio networks; radiotelephony; Markovian analysis; Markovian models; approximate technique; call blocking probabilities; cellular mobile telephony networks; customer retrials; efficient estimation; lower bound; queueing network models; simulation experiments; state spaces; upper bound; Analytical models; Associate members; Cellular networks; Context modeling; GSM; Intelligent networks; Land mobile radio cellular systems; Queueing analysis; State-space methods; Telephony;
Journal_Title :
Selected Areas in Communications, IEEE Journal on