WEEK ONE

         

Summary of the week

In the first week’s group meeting, we discussed the division of tasks and the next steps for our project. 
It was decided that Fanghao and Aljory would be responsible for writing the core computation code, while Helal and Huseen would focus on designing and implementing the graphical user interface (GUI). 
We also established a weekly work plan, outlining the tasks and goals for each stage to ensure steady project progress. In the following weeks, we will provide regular updates and address any issues in a timely manner to keep the project on track.

Background

In the modern era of wireless communication, optimizing network capacity is crucial for efficient service delivery. Our project focuses on Capacity Dimensioning of Cellular Networks, where we develop a MATLAB GUI application to compute the capacity of a cellular network based on various input parameters. By leveraging key telecommunications principles such as frequency reuse, co-channel interference, and the Erlang B formula, we aim to provide a comprehensive tool for network engineers and researchers.


Key Components of Cellular Network Capacity Planning


1.Total Network Bandwidth & Channel Bandwidth – These define the available spectrum and individual channel allocations.
2.Cluster Size & Sectorisation – Determine frequency reuse efficiency and interference levels.
3.Call Traffic Parameters – Mean call duration, call arrival rate, and call blocking probability affect network performance.
4.Cell Radius – Affects user density, traffic distribution, and overall capacity.


Task & Objectives


Our goal is to create a user-friendly MATLAB GUI that enables users to input key parameters and visualize network capacity. The tool provides insights into:
1.Traffic Per User, Sector, Cell, and Cluster – Helps in capacity planning and resource allocation.
2.Number of Users Per Sector, Cell, and Cluster – Ensures service availability without congestion.
3.Traffic/User Density as a Function of Cell Radius – Analyzes how cell size impacts network efficiency.


Features & Benefits


1.Flexibility: Supports different network configurations, from macro to microcell planning.
2.User-Friendly Interface: Allows easy input of parameters and visualization of results.
3.Efficiency & Accuracy: Uses telecommunications formulas to provide precise capacity estimations.
4.Customizability: Enables users to modify parameters to study different scenarios.
5.Analytical Tools: Provides comparative analysis of different configurations for decision-making.


Our MATLAB-based capacity dimensioning tool simplifies the complex task of cellular network planning, offering valuable insights for engineers and researchers. By integrating telecommunications principles with computational efficiency, we strive to enhance network performance, capacity utilization, and service quality in mobile communication systems.




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