MATLAB Simulation of Co-Channel Interference in Cellular Networks with Multi-Cell Deployment Techniques

This paper explores MATLAB-based simulation of co-channel interference in cellular networks and introduces point distribution techniques for multi-cell environments. In modern communication systems, co-channel interference represents a critical challenge that requires thorough investigation and innovative solutions. The point distribution technique emerges as an effective approach in multi-cell scenarios, capable of mitigating co-channel interference and enhancing system performance. The implementation involves creating hexagonal cell structures using MATLAB's geometry functions, where base stations are strategically positioned at cell centers. Signal propagation models incorporate path loss calculations through functions like `fspl` for free-space path loss or customized log-distance models. Co-channel interference analysis employs SINR (Signal-to-Interference-plus-Noise Ratio) computations by aggregating interference signals from neighboring cells using the same frequency band. For multi-cell point distribution, the code implements optimized user equipment placement through weighted random distribution algorithms, ensuring uniform coverage while minimizing interference hotspots. Key MATLAB functions include `rand` for stochastic distribution, `pdist2` for distance calculations between nodes, and optimization toolbox functions for interference minimization. The simulation framework incorporates performance metrics evaluation through BER (Bit Error Rate) calculations and throughput analysis using communication system toolbox functions. Through this study, readers will gain comprehensive understanding of co-channel interference mechanisms and practical implementation skills for point distribution techniques, enabling effective solutions for interference management in modern communication systems.