Numerical Characterization of In Vivo Wireless Communication Channels

TL;DR

This study numerically analyzes the in vivo wireless communication channel in the human male torso at 915 MHz, highlighting its unique characteristics and proposing a statistical path loss model considering location, angle, and depth.

Contribution

It introduces a novel statistical path loss model for in vivo channels based on empirical data, emphasizing the importance of location dependency.

Findings

In vivo channel differs significantly from classical channels.

Location, angle, and depth critically affect link budget.

Multipath characteristics are characterized by power delay profiles.

Abstract

In this paper, we numerically investigated the in vivo wireless communication channel for the human male torso at 915 MHz. The results show that in vivo channel is different from the classical communication channel, and location dependency is very critical for link budget calculations. A statistical path loss model based on the angle, depth and body region is introduced for near and far field regions. Furthermore, multipath characteristics are investigated using a power delay profile as well.