Average data rate and decoding error probability analysis for IRS-aided URLLC in a factory automation scenario

Hong Ren*, Cunhua Pan, Kezhi Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Different from conventional wired line connections, industrial control through wireless transmission is widely regarded as a promising solution. However, mission-critical applications impose stringent quality of service (QoS) requirements that entail ultra-reliability low-latency communications (URLLC). The primary feature of URLLC is finite blocklength (FBL), and conventional Shannon Capacity is not applicable. In this paper, we consider URLLC in a factory automation (FA) scenario, where wireless signal are easy to be blocked by densely deployed machines. To address this issue, we propose to deploy intelligent reflecting surface (IRS) to create an alternative transmission link when the direct link is blocked, which can enhance the transmission reliability. We focus on the performance analysis for IRS-aided URLLC-enabled communications. Both the average data rate (ADR) and the average decoding error probability (ADEP) are derived and asymptotic analysis is performed to obtain more design insights. Extensive numerical results are provided to verify the accuracy of our derived results.

Original languageEnglish
Title of host publication2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages177-182
Number of pages6
ISBN (Electronic)9781665439442
DOIs
Publication statusPublished - 28 Jul 2021
Event2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021 - Xiamen, China
Duration: 28 Jul 202130 Jul 2021

Publication series

Name2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021

Conference

Conference2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Country/TerritoryChina
CityXiamen
Period28/07/2130/07/21

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