Admission Control for URLLC Users in 5G Networks

Fidan Mehmeti, Thomas F. La Porta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ultra-Reliable Low-Latency Communications (URLLC) are one of the service types supported by 5G. These are characterized by a high reliability of delivering packets within a short deadline. To fulfill these stringent requirements, a special care must be taken to determine the required data rate of a user, given its traffic intensity and channel conditions. Furthermore, with the network resources being limited and the competition between the users in the cell, an important question that arises is that of admission control, so that the admitted users do not experience performance deterioration. In this paper, we provide the analysis that leads to an admission control policy. We do this for two types of users in terms of their traffic intensities and channel conditions: 1) homogeneous users, and 2) heterogeneous users. We validate our results on a trace. Results show that the number of admitted users depends on the traffic intensity and the worst channel conditions. An increase in traffic intensity by 3 times can decrease the number of admitted users by almost 35%.

Original languageEnglish (US)
Title of host publicationMSWiM 2021 - Proceedings of the 24th International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
PublisherAssociation for Computing Machinery, Inc
Pages199-206
Number of pages8
ISBN (Electronic)9781450390774
DOIs
StatePublished - Nov 22 2021
Event24th ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2021 - Alicante, Spain
Duration: Nov 22 2021Nov 26 2021

Publication series

NameMSWiM 2021 - Proceedings of the 24th International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

Conference

Conference24th ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems, MSWiM 2021
Country/TerritorySpain
CityAlicante
Period11/22/2111/26/21

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Modeling and Simulation
  • Software

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