Efficient method to validate high reliability of 5G URLLC

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publication2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-7281-8964-2
Publication statusPublished - Jun 2021
MoE publication typeA4 Article in a conference publication
Event93rd IEEE Vehicular Technology Conference, VTC 2021-Spring: Online - Virtual, Virtual, Online
Duration: 25 Apr 202128 Apr 2021

Publication series

SeriesIEEE Vehicular Technology Conference Proceedings


Conference93rd IEEE Vehicular Technology Conference, VTC 2021-Spring
CityVirtual, Online


  • QoS
  • 5G
  • Online algorithm


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