Abstract

5G and beyond networks are being designed to support the future digital society, where numerous sensors, machinery, vehicles and humans will be connected in the so-called Internet of Things (IoT). The support of time-critical verticals such as Industry 4.0 will be especially challenging, due to the demanding communication requirements of manufacturing applications such as motion control, control-to-control applications and factory automation, which will require the exchange of critical sensing and control information among the factory nodes. To this aim, important changes have been introduced in 5G for Ultra-Reliable and Low-Latency Communications (URLLC). One of these changes is the introduction of grant-free scheduling for uplink transmissions. The objective is to reduce latency by eliminating the need for User Equipments (UEs—sensors, devices or machinery) to request resources and wait until the network grants them. Grant-free scheduling can reserve radio resources for dedicated UEs or for groups of UEs. The latter option is particularly relevant to support applications with aperiodic or sporadic traffic and deterministic low latency requirements. In this case, when a UE has information to transmit, it must contend for the usage of radio resources. This can lead to potential packet collisions between UEs. 5G introduces the possibility of transmitting K replicas of the same packet to combat such collisions. Previous studies have shown that grant-free scheduling with K replicas and shared resources increases the packet delivery. However, relying upon the transmission of K replicas to achieve a target reliability level can result in additional delays, and it is yet unknown whether grant-free scheduling with K replicas and shared resources can guarantee very high reliability levels with very low latency. This is the objective of this study, that identifies the reliability and latency levels that can be achieved by 5G grant-free scheduling with K replicas and shared resources in the presence of aperiodic traffic, and as a function of the number of UEs, reserved radio resources and replicas K. The study demonstrates that current Fifth Generation New Radio (5G NR) grant-free scheduling has limitations to sustain stringent reliability and latency levels for aperiodic traffic.

Highlights

  • Sensors 2019, 19, 3575; doi:10.3390/s19163575 www.mdpi.com/journal/sensorsSupporting Ultra-Reliable and Low-Latency Communications (URLLC) is relevant for many Industry 4.0 manufacturing applications, such as motion control, control-to-control applications and factory automation

  • 5G NR grant-free scheduling with shared resources can better support URLLC applications with aperiodic traffic and stringent communication requirements than other existing proposals

  • This paper has analyzed the capacity of 5G NR grant-free scheduling to support URLLC services with strict reliability and latency levels such as those demanded by Industry 4.0

Read more

Summary

Introduction

Supporting URLLC is relevant for many Industry 4.0 manufacturing applications, such as motion control (requires a maximum latency of 1 ms and a reliability of 1–10−6 [2]), control-to-control applications (maximum latency of 4 ms and a reliability of 1–10−8 [1]) and factory automation (maximum latency between 0.25 ms and 2.5 ms and reliability requirements up to 1–10−9 [3]). Relying on the transmission of K replicas to achieve a target reliability level can result in additional delays It is yet unknown whether 5G NR grant-free scheduling with. K-repetitions and shared resources can satisfy critical applications and guarantee very high reliability levels with very low latency In this context, this study presents an in-depth analysis of the reliability and latency levels that can be achieved with existing 5G NR grant-free scheduling solutions as a function of the number of UEs, the number of reserved radio resources, and the number of replicas. This study demonstrates for the first time that self-collisions have a non-negligible impact upon the capacity of 5G NR grant-free scheduling to support stringent URLLC reliability and latency levels

Related Work
Grant-Free Scheduling
Collisions
Self-Collisions
Validation
Performance Evaluation
Findings
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call