Cross-layer design for mission-critical IoT in mobile edge computing systems

She, C., Duan, Y., Zhao, G. , Quek, T. Q.S., Li, Y. and Vucetic, B. (2019) Cross-layer design for mission-critical IoT in mobile edge computing systems. IEEE Internet of Things Journal, 6(6), pp. 9360-9374. (doi: 10.1109/JIOT.2019.2930983)

Abstract

In this paper, we establish a cross-layer framework for optimizing user association, packet offloading rates, and bandwidth allocation for mission-critical Internet-of-Things (MC-IoT) services with short packets in mobile edge computing (MEC) systems, where enhanced mobile broadband (eMBB) services with long packets are considered as background services. To reduce communication delay, the fifth generation new radio is adopted in radio access networks. To avoid long queueing delay for short packets from MC-IoT, processor-sharing (PS) servers are deployed at MEC systems, where the service rate of the server is equally allocated to all the packets in the buffer. We derive the distribution of latency experienced by short packets in closed form, and minimize the overall packet loss probability subject to the end-to-end delay requirement. To solve the nonconvex optimization problem, we propose an algorithm that converges to a near optimal solution when the throughput of eMBB services is much higher than MC-IoT services, and extend it into more general scenarios. Furthermore, we derive the optimal solutions in two asymptotic cases: communication or computing is the bottleneck of reliability. The simulation and numerical results validate our analysis and show that the PS server outperforms first-come-first-serve servers.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhao, Dr Guodong
• Authors: She, C., Duan, Y., Zhao, G., Quek, T. Q.S., Li, Y., and Vucetic, B.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: IEEE Internet of Things Journal
• Publisher: IEEE
• ISSN: 2327-4662
• ISSN (Online): 2327-4662
• Published Online: 25 July 2019
• Copyright Holders: Copyright © 2019 IEEE
• First Published: First published in IEEE Internet of Things Journal 6(6): 9360-9374
• Publisher Policy: Reproduced in accordance with the publisher copyright policy