|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
Application Of MOSEL-2 Language In Performance And Modeling Of Cellular
Wireless Networks |
Authors: |
Aymen I. Zreikat |
Published in: |
(2012).ECMS
2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European
Council for Modeling and Simulation. doi:10.7148/2012 ISBN:
978-0-9564944-4-3 26th
European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz,
Germany, May 29 – June 1 2012 |
Citation
format: |
Zreikat, A. I. (2012). Application Of
MOSEL-2 Language In Performance And Modeling Of Cellular Wireless Networks.
ECMS 2012 Proceedings edited by: K. G. Troitzsch,
M. Moehring, U. Lotzmann (pp. 222-228). European Council for
Modeling and Simulation. doi:10.7148/2012-0222-0228 |
DOI: |
http://dx.doi.org/10.7148/2012-0222-0228 |
Abstract: |
Today's cellular wireless networks
must meet increasing challenges of handling a larger demand for service
without a loss of quality, by maximizing the spectral efficiency of the
network. Therefore, performance evaluation and modeling of cellular wireless
networks is considered to be an important issue to overcome the problem of
limited resources of the network. MOSEL-2 (MOdelling
Specification and Evaluation Language) offers the ability to evaluate complex
systems in a straight, simple and very friendly environment. The old version
of MOSEL offers only performance evaluation of complex systems with
exponential distribution. However, by the new version of MOSEL (i.e. MOSEL2)
with new constructs, it is possible to handle other behaviors with
non-exponential distribution. In this paper, the application of MOSEL-2 in
cellular wireless networks with mix service is presented. The main objective
of the call admission control algorithm and the analysis is to obtain lower
handover blocking probability over the new call blocking probability for both
voice and data connections, which leads to minimum grade-of-service (i.e.
< 0.01) over the whole cell. The numerical analysis of the suggested model
with the associated interesting performance measures proves the effectiveness
of this simulation in describing and solving this type of systems. |
Full
text: |