Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications

Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in t...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.128106-128115
Main Authors: Abreu, Renato B., Pocovi, Guillermo, Jacobsen, Thomas H., Centenaro, Marco, Pedersen, Klaus I., Kolding, Troels E.
Format: Article
Language:English
Subjects:
5G mobile communication
Cellular communication
Downlink
Downlinking
Dynamic scheduling
Industrial applications
Industry 4.0
Internet of Things
Job shop scheduling
link adaptation
Network latency
Network reliability
packet scheduling
Performance evaluation
Reliability
Resource allocation
Resource management
Schedules
Scheduling
semi-persistent scheduling
Synchronism
Time synchronization
time-sensitive communications
time-sensitive networks
Traffic flow
Ultra reliable low latency communication
Wireless communications
Wireless networks
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Summary:Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in terms of latency and reliability, and also demands absolute time-synchronization and on-time delivery of packets for deterministic and isochronous real-time applications. In this regard, a key question is how to schedule TSC traffic flows effectively. This paper presents a radio resource allocation strategy for deterministic downlink TSC flows leveraging traffic pattern knowledge. Taking physical layer control channel effects into account, a comparison of semi-persistent and dynamic packet scheduling methods is presented as well as necessary enhancements to link adaptation and interference coordination procedures. With the proposed methods, the network capacity in terms of number of supported TSC flows can be more than doubled compared to traditional dynamic scheduling methods as commonly assumed for URLLC applications.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3008598