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A Large-Scale Simulator for NB-IoT
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AI
DOI：10.1109/ACCESS.2022.3186365.png)
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Abstract
En 中文
This paper presents a large-scale comprehensive machine-to-machine NB-IoT (narrowband IoT) traffic simulator designed to study IoT application performance in large-scale environments, such as smart cities. The simulation system uses real geographical data to define a wide range of devices characterized by location, packet generation pattern, and network access properties. Key performance indicator metrics are collected during simulations to evaluate the way that various factors affect the machine quality of experience.
Keywords:
Urban areas
Internet of Things
Base stations
Databases
Telecommunications
Performance evaluation
Smart cities
KPIs
verticals
simulation
NB-IoT
performance assessment
IoT