From Microwave Measurement to Application: Enhancement of Fat-Intrabody Communication by Advanced Computational Techniques

Fat-Intra Body Communication (Fat-IBC) leverages the unique dielectric properties of human adipose tissue for low-loss microwave signal propagation. This work presents a comprehensive analysis framework combining interpolation and extrapolation algorithms to predict transmission characteristics (S<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</inf>) across varying phantom lengths and antenna configurations. Interpolation accurately models intermediate lengths, while extrapolation extends predictions to unmeasured distances up to 100 cm. A software application was developed to integrate these computational models with a user-friendly interface and compatibility with microwave design tools. The results validate the efficiency of Fat-IBC for inbody-to-inbody configurations while highlighting challenges in onbody setups. This study establishes a foundation for optimizing Fat-IBC systems for biomedical and wearable applications.