Effective age of information in real-time wireless feedback control systems

Chang, B., Kizilkaya, B., Li, L. , Zhao, G. , Chen, Z. and Imran, M. A. (2021) Effective age of information in real-time wireless feedback control systems. Science China Information Sciences, 64(2), 120303. (doi: 10.1007/s11432-020-3090-5)

Abstract

Ultra-reliable and low-latency communication (URLLC) is one of the most important scenarios in forthcoming fifth generation (5G) cellular networks to ensure timely exchange of information and realize real-time wireless control. In URLLC, timely information update needs to be guaranteed since control performance, e.g., control cost and stability, is directly determined by timely control information update. In this paper, we introduce an effective age of information (EAoI) to evaluate the timeliness of information update in control process. We consider the control process with two phases: sensor to controller phase and controller to actuator phase. We adopt FGFS M/M/1/1 → M/M/1/2 and FGFS M/M/1/1* → M/M/1/2* tandem queuing models to represent control process and we use finite-state Markov Chains to describe control information updates. By studying state transitions, we calculate the average EAoI for both tandem queuing models. More importantly, we analyze throughput of wireless control systems and its relationship with average EAoI, which provides a guideline for URLLC system design in real-time feedback control systems. Simulation results show the advantage of using EAoI.

• Item Type: Articles
• Additional Information: This work was supported in part by National Natural Science Foundation of China (Grant No. 61631004).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhao, Dr Guodong and Kizilkaya, Mr Burak and Li, Dr Emma and Chang, Bo and Imran, Professor Muhammad
• Authors: Chang, B., Kizilkaya, B., Li, L., Zhao, G., Chen, Z., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Science China Information Sciences
• Publisher: Springer
• ISSN: 1674-733X
• ISSN (Online): 1869-1919
• Published Online: 20 January 2021
• Copyright Holders: Copyright © 2021 Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature
• First Published: First published in Science China Information Sciences 64(2): 120303
• Publisher Policy: Reproduced in accordance with the publisher copyright policy