Classifying the Order of Higher Derivative Gaussian Pulses in Terahertz Wireless Communications

TL;DR

This paper introduces a method to classify the derivative order of Gaussian pulses in terahertz communications, enabling energy-efficient nanoscale device connectivity with high accuracy using RMS frequency spread.

Contribution

It proposes a novel RMS frequency spread metric for detecting Gaussian pulse derivatives, advancing nanoscale terahertz communication techniques.

Findings

RMS frequency spread can detect derivative order with 99% accuracy

Effective up to 50 cm distance in simulations

Enables encoding information in pulse derivative order

Abstract

The terahertz band is considered the last frontier for wireless communications and expected to play a significant role in beyond 5G networks. Besides supporting extremely high data rates for existing devices, the terahertz band is also expected to connect future nanoscale devices using graphene-based nano-antenna, which happens to radiate in 0.1-10 THz band. In this band, higher order derivatives of Gaussian pulses can provide energy-efficient communication for nanodevices. In this paper, we propose a metric, called root mean square (RMS) frequency spread, to detect the derivative order of the pulse at the receiving base station using uniform linear array antennas. Simulation experiments demonstrate that RMS frequency spread can be used to detect the derivative order of Gaussian pulses with 99% accuracy for distances up to 50 cm. This finding opens up a new design space for nanoscale terahertz communication, which can encode information in time derivative order of the transmitted pulse.