MATLAB Code Implementation for Multiple Path Loss Prediction Models

Accurate prediction of signal attenuation in wireless communication systems requires employing path loss prediction models. This collection presents MATLAB implementations of several such models, including the Path Loss Prediction Model (corrected from "Pass Loss"). These models incorporate critical parameters affecting signal propagation, such as transmission distance, carrier frequency, antenna characteristics, and environmental conditions. The MATLAB codebase enables systematic simulation of electromagnetic wave attenuation through key algorithmic components: distance-dependent logarithmic calculations, frequency response modeling, and environment-specific correction factors. By implementing these models in MATLAB, researchers can analyze path loss variations using functions like pl_log_distance for log-distance models and freespace_eq for free-space attenuation calculations. Accurate path loss estimation facilitates optimal wireless system design, antenna placement, and coverage planning. The provided code serves as a valuable resource for wireless communication engineers, featuring modular architecture that allows integration of custom environmental factors and empirical data validation capabilities.