Network Coding MATLAB Implementation and Performance Analysis

In this project, our primary objective is to conduct comprehensive simulations of several network coding algorithms to gain deeper insights into their performance characteristics and trade-offs. To achieve this, we will employ MATLAB-based simulation frameworks and tools to model these algorithms under various network conditions and parameters. The implementation includes functions for encoding/decoding operations, channel modeling, and performance metric calculations.

Specifically, we will perform individual simulations for each coding algorithm, recording data and results throughout each simulation process for subsequent comparative analysis. Our comparative framework will evaluate algorithm performance across different input conditions, including varying packet sizes, transmission rates, and network topologies. The MATLAB code implements key algorithms such as random linear network coding (RLNC), XOR-based coding, and fountain codes, with performance metrics including throughput, delay, and packet delivery ratio calculations.

Ultimately, based on all simulation results and comparative data, we will generate detailed comparison charts using MATLAB's plotting functions (plot, bar, scatter) to effectively visualize differences and relationships between various algorithms. These comprehensive charts, featuring performance trends and statistical analysis, will form crucial components of our final technical report and provide valuable reference for future research and practical applications in network communication systems.