Mobile Networks Performance analysis of a cellular mobile network with retrials and guard channels using waiting and first passage time measures

Most studies of modern cellular mobile networks concern performance measures directly computable from the stationary state probabilities such as the blocking probability and the mean traffic rates of the various kinds of calls. In this paper, we consider a cellular mobile system with retrials and guard channels for the handover calls, but we concentrate on performance measures related to the waiting and first passage times of the system. More concretely, we first build a Markovian model representing a station of the network and then we study the waiting time of a customer, the idle times of the guard channels and the time between successive lost calls. These measures shed light on the behaviour of the system and quantify the quality of service from both points of view of the customer and the administrator. Several numerical results illustrate the effect of the system parameters in its performance. Copyright © 2008 John Wiley & Sons, Ltd.

[1]  Phuoc Tran-Gia,et al.  Modeling of Customer Retrial Phenomenon in Cellular Mobile Networks , 1997, IEEE J. Sel. Areas Commun..

[2]  Antonio Gómez-Corral,et al.  A bibliographical guide to the analysis of retrial queues through matrix analytic techniques , 2006, Ann. Oper. Res..

[3]  Xiao Liu,et al.  Performance analysis of hierarchical cellular networks with queueing and user retrials , 2006, Int. J. Commun. Syst..

[4]  Marco Ajmone Marsan,et al.  Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials , 2001, IEEE J. Sel. Areas Commun..

[5]  Jesús R. Artalejo,et al.  Standard and retrial queueing systems: a comparative analysis , 2002 .

[6]  Chong Kwan Un,et al.  Performance of Personal Portable Radio Telephone Systems with and without Guard Channels , 1993, IEEE J. Sel. Areas Commun..

[7]  Leslie D. Servi Algorithmic Solutions to Two-Dimensional Birth–Death Processes with Application to Capacity Planning , 2002, Telecommun. Syst..

[8]  Vicent Pla,et al.  Analysis of priority channel assignment schemes in mobile cellular communication systems: a spectral theory approach , 2005, Perform. Evaluation.

[9]  P. Jacobs,et al.  Finite birth-and-death models in randomly changing environments , 1984, Advances in Applied Probability.

[10]  G. P. Basharin,et al.  Blocking probaffity analysis of new and handover calls in cellular mobile networks with repeated attempts , 2003, Proceedings of the 7th International Conference on Telecommunications, 2003. ConTEL 2003..

[11]  Jesus R. Artalejo,et al.  Algorithmic approximations for the busy period distribution of the M , 2007, Eur. J. Oper. Res..

[12]  Jorge Martínez-Bauset,et al.  A Low Computation Cost Algorithm to Solve Cellular Systems with Retrials Accurately , 2005, EuroNGI Workshop.

[13]  Rouch Guerin,et al.  Queueing-blocking system with two arrival streams and guard channels , 1988, IEEE Trans. Commun..

[14]  Jesús R. Artalejo,et al.  A classified bibliography of research on retrial queues: Progress in 1990–1999 , 1999 .

[15]  Chung-Ju Chang,et al.  Analysis of a cutoff priority cellular radio system with finite queueing and reneging/dropping , 1994, TNET.

[16]  Vaidyanathan Ramaswami,et al.  Introduction to Matrix Analytic Methods in Stochastic Modeling , 1999, ASA-SIAM Series on Statistics and Applied Mathematics.