Computer Simulation as a Tool for Calculation of the Paging System Capacity
Miroslav Belosevic, Swissphone Telecom, Switzerland, e-mail:email@example.com
Mladen Kos, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia, e-mail:firstname.lastname@example.org
Paging system capacity, Pocsag, simulation, queuing system, random number generation, optimisation
To calculate the capacity of a paging system two different models can be applied: a theoretical and a simulation model. This paper presents factors that affect the capacity of a paging system, shows how the capacity can be calculated by use of mentioned models and compares obtained results. The simulation process is described and impact of different queuing algorithms on system capacity is presented. The paper discusses also the relationship between models and shows that the capacity of a paging system can be determined by use of a theoretical model only if a simulation model has been applied before.
Miroslav Belosevic was born in Glina, Croatia in 1966. He received the B.S. and M.S. degrees in electrical engineering from the University of Zagreb in 1989 and 1999, respectively. From 1990 to 1994 he was working in Ericsson Nikola Tesla, Zagreb, Croatia on a software design for a real-time systems dealing with operation and maintenance of a telecommunication network. Since 1994 he has been working in Swissphone Telecom, Switzerland, Research & Development Department of Paging Systems. His current research interests are related to optimisation of the capacity and information flows in a paging system and to evaluation of different queuing algorithms by use of a computer simulation.
Mladen Kos received a Dipl. Ing., M.Sc. and Ph.D. in Electrical Engineering from the University of Zagreb, Croatia in 1972, 1976 and 1983, respectively. He is with the Faculty of Electrical Engineering and Computing of the University of Zagreb where he works as a full professor and the head of Department of Telecommunications. His research interests include the network design and optimization, stochastic models, teletraffic theory and performance analysis. He is a member of IEEE and INFORMS.