Intelligent Reflecting Surface-Aided URLLC in a Factory Automation Scenario

Different from conventional wired line connections, industrial control through wireless transmission is widely regarded as a promising solution due to its reduced cost, increased long-term reliability, and enhanced reliability. However, mission-critical applications impose stringent quality of service (QoS) requirements that entail ultra-reliability low-latency communications (URLLC). The primary feature URLLC the blocklength channel codes short, Shannon’s Capacity not applicable. In this paper, we consider in factory automation (FA) scenario. Due densely deployed equipment FA, signal are easily blocked by obstacles. To address issue, propose deploy intelligent reflecting surface (IRS) create an alternative link, which can enhance focus on performance analysis for IRS-aided URLLC-enabled FA Both average data rate (ADR) decoding error probability (ADEP) derived under finite seven cases: 1) Rayleigh fading channel; 2) With direct link; 3) Nakagami-m 4) Imperfect phase alignment; 5) Multiple-IRS case; 6) Rician 7) Correlated channels. Extensive numerical results provided verify accuracy our results.