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Latency Reduction Techniques for NB-IoT Networks

  • Enabling ultra-low latency is one of the major drivers for the development of future cellular networks to support delay sensitive applications including factory automation, autonomous vehicles and tactile internet. Narrowband Internet of Things (NB-IoT) is a 3 rd Generation Partnership Project (3GPP) Release 13 standardized cellular network currently optimized for massive Machine TypeEnabling ultra-low latency is one of the major drivers for the development of future cellular networks to support delay sensitive applications including factory automation, autonomous vehicles and tactile internet. Narrowband Internet of Things (NB-IoT) is a 3 rd Generation Partnership Project (3GPP) Release 13 standardized cellular network currently optimized for massive Machine Type Communication (mMTC). To reduce the latency in cellular networks, 3GPP has proposed some latency reduction techniques that include Semi Persistent Scheduling (SPS) and short Transmission Time Interval (sTTI). In this paper, we investigate the potential of adopting both techniques in NB-IoT networks and provide a comprehensive performance evaluation. We firstly analyze these techniques and then implement them in an open-source network simulator (NS3). Simulations are performed with a focus on Cat-NB1 User Equipment (UE) category to evaluate the uplink user-plane latency. Our results show that SPS and sTTI have the potential to greatly reduce the latency in NB-IoT systems. We believe that both techniques can be integrated into NB-IoT systems to position NB-IoT as a preferred technology for low data rate Ultra-Reliable Low-Latency Communication (URLLC) applications before 5G has been fully rolled out.show moreshow less

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Metadaten
Author:Kofi Atta Nsiah, Zubair Amjad, Axel SikoraORCiDGND, Benoît Hilt, Jean-Philippe Lauffenburger
Creating Corporation:IEEE
Year of Publication:2019
Pagenumber:6
ISBN:978-1-7281-4069-8 (digital)
ISBN:978-1-7281-4068-1 (USB)
ISBN:978-1-7281-4070-4 (Print on Demand)
Language:English
Parent Title (English):Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
First Page:478
Last Page:483
Document Type:Conference Proceeding
Institutes:Bibliografie
Release Date:2020/01/17
Licence (German):License LogoEs gilt das UrhG
Note:
Konferenz: 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 18-21 Sept. 2019, Metz, France
DOI:https://doi.org/10.1109/IDAACS.2019.8924238