Intelligent Radio Frequency Identification for URLLC in Industrial IoT Networks
نویسندگان
چکیده
In the era of Industry 4.0, there are many emerging industrial Internet Things (IIoT) applications that require ultrareliable and low-latency communications (URLLCs), such as time-sensitive networking (TSN), status reporting, remote control. With deployment massive intelligent devices in IIoT networks, providing security for device physical-layer access is a challenging issue, especially URLLC with strict latency reliability constraints. We thus developed an radio frequency identification (RFI) framework to provide lightweight energy-efficient scheme URLLCs via leveraging unique hardware-level imperfections transmitter. propose novel semisupervised-learning (SSL) algorithm realize RFI scenarios. One-dimensional network construction also exploited improve accuracy proposed SSL algorithm. On basis framework, we analyze overall uplink transmission error probability availability MIMO, which can achieve comparable symmetry performance downlink, experimental evaluation provided gain comprehensive insight on RFI. Numerical results demonstrate effectiveness our impact channel correlation, design guidelines supporting systems.
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ژورنال
عنوان ژورنال: Symmetry
سال: 2022
ISSN: ['0865-4824', '2226-1877']
DOI: https://doi.org/10.3390/sym14040801