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Latency Reduction for Narrowband LTE with Semi-Persistent Scheduling

  • The excessive control signaling in Long Term Evolution networks required for dynamic scheduling impedes the deployment of ultra-reliable low latency applications. Semi-persistent scheduling was originally designed for constant bit-rate voice applications, however, very low control overhead makes it a potential latency reduction technique in Long Term Evolution. In this paper, we investigateThe excessive control signaling in Long Term Evolution networks required for dynamic scheduling impedes the deployment of ultra-reliable low latency applications. Semi-persistent scheduling was originally designed for constant bit-rate voice applications, however, very low control overhead makes it a potential latency reduction technique in Long Term Evolution. In this paper, we investigate resource scheduling in narrowband fourth generation Long Term Evolution networks through Network Simulator (NS3) simulations. The current release of NS3 does not include a semi-persistent scheduler for Long Term Evolution module. Therefore, we developed the semi-persistent scheduling feature in NS3 to evaluate and compare the performance in terms of uplink latency. We evaluate dynamic scheduling and semi-persistent scheduling in order to analyze the impact of resource scheduling methods on up-link latency.show moreshow less

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Metadaten
Author:Zubair Amjad, Axel Sikora, Benoit Hilt, Jean-Phillippe Lauffenburger
Contributing Corporation:IEEE
Year of Publication:2018
Pagenumber:3
ISBN:978-1-5386-7587-8
Language:English
Parent Title (English):Proceedings of the 4th IEEE International Symposium on Wireless Systems within the International Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS), 20-21 September 2018, Lviv, Ukraine
First Page:196
Last Page:198
Document Type:Conference Proceeding
Institutes:Hochschule Offenburg / Bibliografie
Release Date:2019/01/17
Licence (German):License LogoEs gilt das UrhG
DOI:https://doi.org/10.1109/IDAACS-SWS.2018.8525713