4.8 Article

URLLC-Based Cooperative Industrial IoT Networks With Nonlinear Energy Harvesting

Journal

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 19, Issue 2, Pages 2078-2088

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2022.3166808

Keywords

Device selection; energy harvesting (EH); industrial Internet of Things (IIoT); nonlinear (NL); outage probability (OP); ultrareliable low latency communication (URLLC)

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The efficient and effective framework for next-generation wireless networks should include features such as ultralow latency, ultrahigh reliability, and enhanced data rate. This article investigates the application of mission-critical ultrareliable low latency communication in an industrial Internet of Things environment. A novel transmission protocol is studied and the network's performance is analyzed. Monte-Carlo simulations are used to validate the analytical results.
The efficient and effective framework for next-generation (5G and beyond 5G) wireless networks should include mission-critical aspects such as ultralow latency ($\leq \!\!1$ ms), ultrahigh reliability (99.999%), and enhanced data rate. Billions of ubiquitously connected devices are expected to serve various industrial applications in upcoming industry standards such as Industry 5.0. These industrial applications include mission-critical tasks such as smart grids, remote surgery, and intelligent transportation systems. This article considers an industrial Internet of Things (IIoT) environment in mission-critical ultrareliable low latency communication (URLLC) application where the main industrial unit or industrial control node (CN) sends messages to the target device (TD) with the aid of a cooperative device (CD). We investigate a novel transmission protocol and analyze the network's performance. Considering the nonlinear energy harvesting (EH) mechanism at power-constrained nodes and direct and cooperative phase transmissions, the outage probability (OP) and block error rate (BLER) performances are evaluated for Rayleigh distributed fading channels. The analytical results are validated through Monte-Carlo simulations.

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