TY - GEN
T1 - Efficient method to validate high reliability of 5G URLLC
AU - Kilpi, Jorma
AU - Kokkoniemi-Tarkkanen, Heli
AU - Uusitalo, Mikko
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by the Finnish public funding agency for research, Business Finland under the projects “Wireless for Verticals (WIVE)” and “5G Vertical Integrated Industry for Massive Automation” (5G VIIMA)”. The both projects are a part of 5G Test Network Finland (5GTNF) ecosystem. We are thankful for Pirkko Kuusela and Artjom Grudnitsky for valuable comments.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - Supervising quality of service will become increasingly important as critical applications switch to use wireless communication services such as 5G URLLC. This is also crucial for automation of ports, with focus here on automated handling of containers in ports, enabling efficient and safe marine logistics. In order to move from fixed connections to wireless, high quality performance testing methods are needed. We present a framework of passive QoS measurements and a measurement setup to measure delay and loss. We estimate the empirical probability of the largest sample percentile (fractile, quantile) of the observed delays that is below the limit due to the QoS requirement. The estimation is done online, bringing clear benefit as there is no need to save the data. The method is very fast and efficient, allowing parallel measurements. We introduce an online statistic which is a measure of the current delay performance related to the QoS criterion. The packet loss information is embedded to the statistic. The proposed method can be used for quality control of high reliability wireless control signals for other airborne and maritime systems or other verticals as well.
AB - Supervising quality of service will become increasingly important as critical applications switch to use wireless communication services such as 5G URLLC. This is also crucial for automation of ports, with focus here on automated handling of containers in ports, enabling efficient and safe marine logistics. In order to move from fixed connections to wireless, high quality performance testing methods are needed. We present a framework of passive QoS measurements and a measurement setup to measure delay and loss. We estimate the empirical probability of the largest sample percentile (fractile, quantile) of the observed delays that is below the limit due to the QoS requirement. The estimation is done online, bringing clear benefit as there is no need to save the data. The method is very fast and efficient, allowing parallel measurements. We introduce an online statistic which is a measure of the current delay performance related to the QoS criterion. The packet loss information is embedded to the statistic. The proposed method can be used for quality control of high reliability wireless control signals for other airborne and maritime systems or other verticals as well.
KW - QoS
KW - URLLC
KW - 5G
KW - Online algorithm
UR - http://www.scopus.com/inward/record.url?scp=85112418573&partnerID=8YFLogxK
U2 - 10.1109/VTC2021-Spring51267.2021.9448734
DO - 10.1109/VTC2021-Spring51267.2021.9448734
M3 - Conference article in proceedings
T3 - IEEE Vehicular Technology Conference Proceedings
SP - 1
EP - 6
BT - 2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
PB - IEEE Institute of Electrical and Electronic Engineers
T2 - 93rd IEEE Vehicular Technology Conference, VTC 2021-Spring
Y2 - 25 April 2021 through 28 April 2021
ER -