TY - GEN
T1 - Average data rate and decoding error probability analysis for IRS-aided URLLC in a factory automation scenario
AU - Ren, Hong
AU - Pan, Cunhua
AU - Wang, Kezhi
N1 - Funding Information:
This work was supported in part by the National Key Research and Development Project under Grant 2019YFE0123600, the National Natural Science Foundation of China under Grants No. 62001107, Basic Research Project of Jiangsu Provincial Department of Science and Technology under Grant No. BK20190339, and the Research Fund of National Mobile Communications Research Laboratory, Southeast University (No.2021B01).
PY - 2021/7/28
Y1 - 2021/7/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85116461063&partnerID=8YFLogxK
U2 - 10.1109/ICCCWorkshops52231.2021.9538901
DO - 10.1109/ICCCWorkshops52231.2021.9538901
M3 - Conference contribution
AN - SCOPUS:85116461063
T3 - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
SP - 177
EP - 182
BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2021
Y2 - 28 July 2021 through 30 July 2021
ER -