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Global System for Mobile Communications (GSM) universal acceptability has led to the launching of lots of services ranges from telephony, Internet, multimedia, e-mails and congestion is now the resultant effect of this embracement. This work focuses on how the data calls can be managed on the network in order to minimized congestion experienced on the network. It classifies calls into different classes according to the type and nature of services offered. Thereafter, a level of priority was set among the classes so that the most important service will have access to the channel on the network by preempting the lower priority when there is congestion. The Markov chain’s model is used to analyse the different classes of subscribers on the network and subsequently the steady state probabilities were derived. The blocking and dropping probabilities models for the different services were developed. The models were implemented to show how the congestion are minimised for different subscribers based on their priority levels. The impacts of priorities on different subscribers in the network were shown through the graphical display of the results.

Prioritized Data Calls with Time Threshold Performance Model in GSM