TY - GEN
T1 - A Comprehensive Analytical Model of End-to-End Uplink Delay in 5G NB-IoT Networks
AU - Accurso, Nicholas
AU - Mastronarde, Nicholas
AU - Malandra, Filippo
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The introduction of 5G has seen a massive growth in the number of devices in the Internet of Things (IoT) due to 5G's improved massive Machine Type Communication (mMTC) capabilities. One popular solution to accommodate this growth is the use of existing cellular infrastructures, which is referred to as Cellular IoT (C-IoT). Novel C-IoT protocols such as NarrowBand IoT (NB-IoT) have been developed with this goal in mind. NB-IoT aims to enhance coverage area and battery life of devices at the cost of increased network latency and decreased throughput. In the literature, there is a clear gap when it comes to exploring these Key Performance Indicators (KPIs). In this work, we present a model for end-to-end uplink delay in NB-IoT networks. We first break the problem into three parts: synchronization, random access, and data transmission. Through the summation of these three parts, the end-to-end delay is realized. Finally, the performance of the analytical model is validated through comparison with simulation results.
AB - The introduction of 5G has seen a massive growth in the number of devices in the Internet of Things (IoT) due to 5G's improved massive Machine Type Communication (mMTC) capabilities. One popular solution to accommodate this growth is the use of existing cellular infrastructures, which is referred to as Cellular IoT (C-IoT). Novel C-IoT protocols such as NarrowBand IoT (NB-IoT) have been developed with this goal in mind. NB-IoT aims to enhance coverage area and battery life of devices at the cost of increased network latency and decreased throughput. In the literature, there is a clear gap when it comes to exploring these Key Performance Indicators (KPIs). In this work, we present a model for end-to-end uplink delay in NB-IoT networks. We first break the problem into three parts: synchronization, random access, and data transmission. Through the summation of these three parts, the end-to-end delay is realized. Finally, the performance of the analytical model is validated through comparison with simulation results.
UR - https://www.scopus.com/pages/publications/105015696434
U2 - 10.1109/MeditCom64437.2025.11104482
DO - 10.1109/MeditCom64437.2025.11104482
M3 - Conference contribution
AN - SCOPUS:105015696434
T3 - 2025 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2025
BT - 2025 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Mediterranean Conference on Communications and Networking, MeditCom 2025
Y2 - 7 July 2025 through 10 July 2025
ER -