Increasing Fault Tolerance and Throughput with Adaptive Control Plane in Smart Factories

TL;DR

This paper proposes an adaptive control plane for THz communication in smart factories, enhancing fault tolerance and throughput by dynamically adjusting coding and modulation based on channel conditions.

Contribution

It introduces a workflow algorithm that adaptively configures THz transceivers, improving communication reliability and efficiency in high-bandwidth factory environments.

Findings

Improved throughput and signal quality with adaptive control.

Achieved near-zero bit error probability.

Maximized throughput in analyzed scenarios.

Abstract

Future smart factories are expected to deploy an emerging dynamic Virtual Reality (VR) applications with high bandwidth wireless connections in the THz communication bands, where a factory worker can follow activities through 360{\deg}video streams with high quality resolution. THz communications, while promising as a high bandwidth wireless communication technology, are however known for low fault tolerance, and are sensible to external factors. Since THz channel states are in general hard to estimate, what is needed is a system that can adaptively react to transceiver configurations in terms of coding and modulation. To this end, we propose an adaptive control plane that can help us configure the THz communication system. The control plane implements a workflow algorithm designed to adaptively choose between various coding and modulation schemes depending on THz channel states. The results show that an adaptive control plane can improve throughput and signal resolution quality, with theoretically zeroed bit error probability and a maximum achievable throughput in the scenarios analayzed.