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Scheduling 5G Radio Resources for the Transmission of Real-time TSN Flows

Authors:

Zenepe Satka, Federico Aromolo , Mohammad Ashjaei, Alessandro Biondi , Daniel Casini , Hossein Fotouhi, Niccolo Borgioli , Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen

Note:

The complete PDF is available upon request.

Publication Type:

Report - MRTC

Publisher:

Mälardalen Real-Time Research Centre, Mälardalen University

ISRN:

MDH-MRTC-355/2025-1-SE


Abstract

The integration of advanced technologies such as cyber-physical systems (CPS), the Internet of Things (IoT), cloud computing, and artificial intelligence (AI) is paving the way for a broad spectrum of new use cases and applications. Many of these applications demand highly reliable and deterministic communication. Time-Sensitive Networking (TSN) is a set of standards that supports low-latency communication with ultra-low jitter for wired on-board communication. To overcome the limitations of wired connections, it is of paramount importance to integrate TSN with a wireless network. The fifth generation of cellular networks~(5G) stands out as a potential candidate when it comes to meeting the real-time requirements of time-sensitive applications. However, the integration of TSN with the 5G network introduces new challenges regarding the scheduling of 5G radio resources for the transmission of real-time TSN flows under time-variant 5G channel characteristics. In this paper, we propose a flow-based scheduling approach to handle the allocation of 5G radio resources for the uplink transmission of TSN flows with various timing and reliability constraints. Moreover, as the 5G radio resources are limited, we propose an approach to efficiently utilize these resources while achieving a feasible schedule for TSN flows with stringent timing constraints.

Bibtex

@techreport{Satka7170,
author = {Zenepe Satka and Federico Aromolo and Mohammad Ashjaei and Alessandro Biondi and Daniel Casini and Hossein Fotouhi and Niccolo Borgioli and Masoud Daneshtalab and Mikael Sj{\"o}din and Saad Mubeen},
title = {Scheduling 5G Radio Resources for the Transmission of Real-time TSN Flows},
note = {The complete PDF is available upon request.},
month = {September},
year = {2025},
publisher = {M{\"a}lardalen Real-Time Research Centre, M{\"a}lardalen University},
url = {http://www.es.mdu.se/publications/7170-}
}