5G Enabled Fault Detection and Diagnostics: How Do We Achieve Efficiency?

TL;DR

This paper introduces a new framework and protocol for efficient fault detection and diagnostics in 5G-enabled industrial IoT, addressing latency and reliability challenges through the CEC loop and ReFlexUp protocol.

Contribution

It proposes the CEC loop concept, formulates an optimization model for FDD efficiency, and introduces the ReFlexUp protocol tailored for 5G MEC environments.

Findings

ReFlexUp outperforms traditional protocols in latency, reliability, and efficiency.

Simulation results confirm the protocol's effectiveness in mmWave 5G MEC setups.

The CEC framework provides a systematic approach to optimize FDD in industrial IoT.

Abstract

The 5th-generation wireless networks (5G) technologies and mobile edge computing (MEC) provide great promises of enabling new capabilities for the industrial Internet of Things. However, the solutions enabled by the 5G ultra-reliable low-latency communication (URLLC) paradigm come with challenges, where URLLC alone does not necessarily guarantee the efficient execution of time-critical fault detection and diagnostics (FDD) applications. Based on the Tennessee Eastman Process model, we propose the concept of the communication-edge-computing (CEC) loop and a system model for evaluating the efficiency of FDD applications. We then formulate an optimization problem for achieving the defined CEC efficiency and discuss some typical solutions to the generic CEC-based FDD services, and propose a new uplink-based communication protocol called "ReFlexUp". From the performance analysis and numerical results, the proposed ReFlexUp protocol shows its effectiveness compared to the typical protocols such as Selective Repeat ARQ, HARQ, and "Occupy CoW" in terms of the key metrics such as latency, reliability, and efficiency. These results are further convinced from the mmWave-based simulations in a typical 5G MEC-based implementation.