Feasibility study and performance analysis of NB-IoT communications for PEA smart grid network

Name: Kittiwat Srivilas

Organization : King Mongkut’s University of Technology North Bangkok. The Sirindhorn International Thai-German Graduate School of Engineering (TGGS)

Email : deee2019@ tggs.kmutnb.ac.th

Name: Chaiyod Pirak

Organization : King Mongkut’s University of Technology North Bangkok. The Sirindhorn International Thai-German Graduate School of Engineering (TGGS)

Email : chaiyod.p@tggs.kmutnb.ac.th

keyword: Signal-to-noise ratio

LCSH: Internet of things

; Error analysis

LCSH: Smart power grids

LCSH: Wireless communication systems -- Performance

Abstract: This research aims at studying the feasibility and performance analysis of NB-IoT as a last-mile network for Provincial Electricity Authority (PEA) smart grid implementation. In this study, data transmission models are simulated in order to analyze performance in various wireless channels according to the NB-IoT specifications. Bit error rate (BER) and symbol error rate (SER) versus the signal-to-noise ratio (SNR) are used to evaluate the reliability of the channel. The communication channel scenarios studied in this research are modeled to reflect different types of areas according to terrain and the density of connected devices, which can be categorized into four propagation models. Specifically, the Rayleigh fading channel with the adjustment of the variance of the channel paths corresponding to the power-delay profiles in each propagation model is studied. From the experimental results, it is shown that the performance of NB-IoT for use in rural areas with a moderate density of connected devices (which is the most common type of area in PEA's responsibility) has the best performance results. On the other hand, the use of NB-IoT in large cities with a high density of connected devices results in the worst performance among all simulated scenarios. The performance and reliability can be further enhanced by using hybrid communication, which may integrate PLC or RF-mesh communication systems into the network

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2021

Modified: 2026-04-08

Issued: 2026-04-08

บทความ/Article

application/pdf

BibliograpyCitation : In Chiang Mai University. Faculty of Engineering. 2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2021) (pp.240-244). Chiang Mai : Chiang Mai University

eng

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