Latency prediction in 5G for control with deadtime compensation

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


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.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering


  • Latency prediction, 5G, Deadtime compensation, Time varying delay
Original languageEnglish
Title of host publicationIoT-Fog '19 Proceedings of the Workshop on Fog Computing and the IoT
PublisherACM, NY, USA
Number of pages4
ISBN (Print) 978-1-4503-6698-4
Publication statusPublished - 2019 Apr 15
Publication categoryResearch

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