Impact of information update generation on the radio access network of cellular Internet of Things

Marcelo E. Flores Vázquez, Luis Tello-Oquendo, Vicent Pla, Juan Aranda, Juan V. Capella, Andrea K. Guamo Morocho

Research output: Contribution to journalArticlepeer-review

Abstract

Cellular Internet of Things (CIoT) is considered a suitable technology to provide connectivity to IoT devices and support machine-type communication (MTC). CIoT relies on cellular networks, such as 5 G, to handle the increased demand for data and avoid overload. However, the limited capacity of the Random Access Channel (RACH) in 5 G Radio Access Networks (RANs) represents a challenge for implementing real-time IoT applications. Information update generation and the Random Access (RA) protocol play a crucial role in ensuring timely updates. This paper presents a performance analysis of the impact of information update generation patterns on the RAN in CIoT when the number of IoT devices and information update frequency increase. An extensive simulation study was conducted, considering MTC and H2H (human-to-human) traffic with varying access request intensities. We determine the maximum information update frequency to provide a highly successful access probability over the RAN.

Original languageEnglish
Pages (from-to)409-420
Number of pages12
JournalTelecommunication Systems
Volume84
Issue number3
DOIs
StatePublished - Nov 2023

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

  • Cellular systems
  • Machine-type communications
  • Performance analysis
  • RAN slicing
  • Resource allocation

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