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 () and
Andrea K. Guamo Morocho ()
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Marcelo E. Flores Vázquez: Universidad Politécnica Salesiana
Luis Tello-Oquendo: Universidad Nacional de Chimborazo
Vicent Pla: Universitat Politècnica de València
Juan Aranda: Universidad de La Sabana
Juan V. Capella: Universitat Politècnica de València
Andrea K. Guamo Morocho: Universidad de Vigo
Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 84, issue 3, No 8, 409-420
Abstract:
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.
Keywords: Cellular systems; Machine-type communications; Performance analysis; RAN slicing; Resource allocation (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11235-023-01046-w
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