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Zhohov, R., Minovski, D., Johansson, P. & Andersson, K. (2018). Real-time Performance Evaluation of LTE for IIoT. In: Soumaya Cherkaoui (Ed.), Proceedings of the 43rd IEEE Conference on Local Computer Networks (LCN): . Paper presented at 43nd IEEE Conference on Local Computer Networks Workshops (LCN Workshops), Chicago, October 1-4, 2018. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Real-time Performance Evaluation of LTE for IIoT
2018 (English)In: Proceedings of the 43rd IEEE Conference on Local Computer Networks (LCN) / [ed] Soumaya Cherkaoui, Institute of Electrical and Electronics Engineers (IEEE), 2018Conference paper, Published paper (Refereed)
Abstract [en]

Industrial Internet of Things (IIoT) is claimed to be a global booster technology for economic development. IIoT brings bulky use-cases with a simple goal of enabling automation, autonomation or just plain digitalization of industrial processes. The abundance of interconnected IoT and CPS generate additional burden on the telecommunication networks, imposing number of challenges to satisfy the key performance requirements. In particular, the QoS metrics related to real-time data exchange for critical machine-to-machine type communication. This paper analyzes a real-world example of IIoT from a QoS perspective, such as remotely operated underground mining vehicle. As part of the performance evaluation, a software tool is developed for estimating the absolute, one-way delay in end-toend transmissions. The measured metric is passed to a machine learning model for one-way delay prediction based on LTE RAN measurements using a commercially available cutting-edge software tool. The achieved results prove the possibility to predict the delay figures using machine learning model with a coefficient of determination up to 90%.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
IIoT, LTE, QoS, delay, jitter, real-time, critical IoT
National Category
Computer Sciences Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
urn:nbn:se:ltu:diva-70316 (URN)10.1109/LCN.2018.8638081 (DOI)2-s2.0-85062855153 (Scopus ID)
Conference
43nd IEEE Conference on Local Computer Networks Workshops (LCN Workshops), Chicago, October 1-4, 2018
Available from: 2018-08-09 Created: 2018-08-09 Last updated: 2019-04-08
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-1139-6998

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