Jibrin M. Sadiq

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Accurate forecasting of data traffic demand is very crucial for the profitable operation of cellular data networks because it helps in facilitating the optimization and planning of the network resources. Many machine learning regression models including Support Vector Regression and Abductive Networks have been applied to this problem, but this paper(More)
The global increase in the demand for mobile communication services has raised the need for efficient channel assignment within the limited available bandwidth available to wireless network operators hence one of the most important challenges faced by these operator is that of efficiently assigning available channels such that the utilization of available(More)
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