Terahertz channel modeling based on surface sensing characteristics

TL;DR

This paper introduces a novel terahertz channel modeling method that utilizes the sensing capabilities of THz channels to infer surface properties, reducing reliance on traditional measurement techniques and enabling practical application in diverse environments.

Contribution

The study presents a new approach for THz channel modeling that leverages channel sensing to estimate surface dielectric properties, bypassing complex traditional measurement methods.

Findings

Method yields reliable surface property data from channel sensing.

Consistent results in cityscape and indoor scenarios.

Effective alternative to THz-TDS measurements.

Abstract

The dielectric properties of environmental surfaces, including walls, floors and the ground, etc., play a crucial role in shaping the accuracy of terahertz (THz) channel modeling, thereby directly impacting the effectiveness of communication systems. Traditionally, acquiring these properties has relied on methods such as terahertz time-domain spectroscopy (THz-TDS) or vector network analyzers (VNA), demanding rigorous sample preparation and entailing a significant expenditure of time. However, such measurements are not always feasible, particularly in novel and uncharacterized scenarios. In this work, we propose a new approach for channel modeling that leverages the inherent sensing capabilities of THz channels. By comparing the results obtained through channel sensing with that derived from THz-TDS measurements, we demonstrate the method's ability to yield dependable surface property information. The application of this approach in both a miniaturized cityscape scenario and an indoor environment has shown consistency with experimental measurements, thereby verifying its effectiveness in real-world settings.