Autonomous D2D transmission scheme in URLLC for real-time wireless control systems

Chang, B., Li, L. , Zhao, G. , Chen, Z. and Imran, M. A. (2021) Autonomous D2D transmission scheme in URLLC for real-time wireless control systems. IEEE Transactions on Communications, 69(8), pp. 5546-5558. (doi: 10.1109/TCOMM.2021.3075680)

Abstract

In industrial internet of things (IIoT), ultra-reliable and low-latency communication (URLLC) is proposed to guarantee the requirement of real-time wireless control systems in worst case, so as to maintain the system working in all cases. However, it is extremely challenging to maintain URLLC throughout the whole control process due to the scarcity of wireless resource. This paper develops an autonomous device-to-device (D2D) communication scheme by jointly considering reliability in URLLC and control requirement. In the proposed scheme, we consider the actual control requirement, i.e., control convergence rate, into communication design, where we find that it can be converted into a constraint on communication reliability. Then, the communication reliability constraint comes from control aspect, instead of URLLC, which leads to that the system does not need to guarantee worst case in URLLC. Second, the sensors autonomously decide whether to be activated with optimal probabilities to participate in the control process, which can maintain the communication reliability requirement with significantly less resource consumption. Simulation results show remarkable performance gain of our method. For instance, compared with fixed activation probability 40% only considering URLLC, the average power consumption of the proposed method can be reduced by at most about 100%.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Imran, Professor Muhammad and Li, Dr Emma and Chang, Bo and Zhao, Dr Guodong
• Authors: Chang, B., Li, L., Zhao, G., Chen, Z., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: IEEE Transactions on Communications
• Publisher: IEEE
• ISSN: 0090-6778
• ISSN (Online): 1558-0857
• Published Online: 26 April 2021
• Copyright Holders: Copyright © 2021 IEEE
• First Published: First published in IEEE Transactions on Communications 69(8):5546-5558
• Publisher Policy: Reproduced in accordance with the publisher copyright policy