Demand-Based Capacity Planning of Mobile Cellular Networks in Africa

This research report presents the design and implementation of a traffic demand estimation tool (T-DET) for mobile cellular networks in Africa, with a case study in Rwanda. The tool, based on the terminal mobility model, estimates traffic demand using demographic data and land usage to optimize network resources and reduce system congestion.

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The research method involved designing and implementing the T-DET tool, which estimates traffic demand using demographic and land usage data. The tool was applied to three scenarios in Rwanda: Suburban Commercial, Suburban Residential, and Rural. Traffic demand was estimated, validated against actual measurements, and used for network design and forecasting.

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The study aimed to develop an accurate traffic demand estimation tool, T-DET, for mobile cellular networks in Africa, focusing on Rwanda. The tool uses the terminal mobility model to estimate traffic demand based on demographic and land usage data. Three scenarios—Suburban Commercial, Suburban Residential, and Rural—were analyzed. T-DET's results were used to determine optimum capacity configuration, forecast future traffic demand, and estimate potential revenue. The tool's accuracy was validated against actual traffic measurements, demonstrating its effectiveness in network planning and resource allocation.

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Categories: Africa geographic scope | English publication language | Rwanda geographic scope | africa | capacity planning | demographic data | forecasting tool | ict | land usage | mobile | mobile cellular networks | mobile networks | mobile traffic | network design | resource utilization | revenue estimation | system congestion | t-det | traffic demand estimation | traffic demand estimation tool | traffic forecasting