Abstract
Communication networks have undergone rapid developments in the past few decades in many Sub-Saharan African countries. The increasing number of subscribers and demand for greater variety of services in these countries make it difficult for network operators to provide the service varieties subscribers want while maintaining acceptable levels of quality of service. This paper analyzes the radio network of cellular networks in terms of traffic distribution over the existing number of communication channels using MATLAB/Simulink. A scale-free user network, which takes into account user behavior in a realistic physical network, has been used to model a more realistic cause for call blockings in a typical cellular network deployment under a Sub-Saharan environment. Peak recorded traffic distribution was observed to have overwhelmed the existing number of channels provided by the network operators for some cells eventually leading to increase in call drop rates. This high call blocking probability was attributed to poor network monitoring by the network operators to match the ever changing traffic intensities.
Highlights
The ever increasing demand for communication services has led to serious challenges to network operators to ensure acceptable Quality of Service (QOS) at minimum cost
In order to effectively operate in these business environments, network operators must take into consideration the effective use of their available resources to deliver acceptable quality of service to subscribers at low tariffs
Traffic analysis of two communication networks based on a scale-free network model under a typical deployment scenario has been studied in this work
Summary
The ever increasing demand for communication services has led to serious challenges to network operators to ensure acceptable Quality of Service (QOS) at minimum cost. In order to effectively operate in these business environments, network operators must take into consideration the effective use of their available resources (channels) to deliver acceptable quality of service to subscribers at low tariffs This will take effective network design and optimization models to achieve that. Studies of small-world and scale-free properties of complex networks have been able to model the relationship between measured data and user behaviors and have been presented in [5]-[8]. This paper evaluates the performance of two communications networks in a typical Sub-Saharan African country in terms of offered traffic and the probability of call blocking over a scale-free user network. The simulation parameters and the results of the study are subsequently presented
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