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Latency prediction in 5G for control with deadtime compensation

Ruuskanen, Johan LU ; Peng, Haorui LU and Martins, Alexandre LU (2019) p.51-55
Abstract
With the promise of increased responsiveness and robustness of the emerging 5G technology, it is suddenly becoming feasible to deploy latency-sensitive control systems over the cloud via a mobile network. Even though 5G is herald to give lower latency and jitter than current mobile networks, the effect of the delay would still be non-negligible for certain applications.

In this paper we explore and demonstrate the possibility of compensating for the unknown and time-varying latency introduced by a 5G mobile network for control of a latency-sensitive plant. We show that the latency from a prototype 5G test bed lacks significant short-term correlation, making accurate latency prediction a difficult task. Further, because of the... (More)
With the promise of increased responsiveness and robustness of the emerging 5G technology, it is suddenly becoming feasible to deploy latency-sensitive control systems over the cloud via a mobile network. Even though 5G is herald to give lower latency and jitter than current mobile networks, the effect of the delay would still be non-negligible for certain applications.

In this paper we explore and demonstrate the possibility of compensating for the unknown and time-varying latency introduced by a 5G mobile network for control of a latency-sensitive plant. We show that the latency from a prototype 5G test bed lacks significant short-term correlation, making accurate latency prediction a difficult task. Further, because of the unknown and time-varying latency our used simple interpolation-based model experiences some troubling theoretical properties, limiting its usability in real world environments. Despite this, we give a demonstration of the strategy which seems to increase robustness in a simulated plant.
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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Latency prediction, 5G, Deadtime compensation, Time varying delay
host publication
IoT-Fog '19 Proceedings of the Workshop on Fog Computing and the IoT
pages
4 pages
publisher
ACM, NY, USA
external identifiers
  • scopus:85066038059
ISBN
978-1-4503-6698-4
language
English
LU publication?
yes
id
a08df584-b5c6-4ec2-8852-7b7459a60928
date added to LUP
2019-06-11 10:47:44
date last changed
2019-06-25 03:55:13
@inproceedings{a08df584-b5c6-4ec2-8852-7b7459a60928,
  abstract     = {With the promise of increased responsiveness and robustness of the emerging 5G technology, it is suddenly becoming feasible to deploy latency-sensitive control systems over the cloud via a mobile network. Even though 5G is herald to give lower latency and jitter than current mobile networks, the effect of the delay would still be non-negligible for certain applications.<br/><br/>In this paper we explore and demonstrate the possibility of compensating for the unknown and time-varying latency introduced by a 5G mobile network for control of a latency-sensitive plant. We show that the latency from a prototype 5G test bed lacks significant short-term correlation, making accurate latency prediction a difficult task. Further, because of the unknown and time-varying latency our used simple interpolation-based model experiences some troubling theoretical properties, limiting its usability in real world environments. Despite this, we give a demonstration of the strategy which seems to increase robustness in a simulated plant.<br/>},
  author       = {Ruuskanen, Johan and Peng, Haorui and Martins, Alexandre},
  isbn         = { 978-1-4503-6698-4 },
  keyword      = {Latency prediction,5G,Deadtime compensation,Time varying delay},
  language     = {eng},
  month        = {04},
  pages        = {51--55},
  publisher    = {ACM, NY, USA},
  title        = {Latency prediction in 5G for control with deadtime compensation},
  year         = {2019},
}