Performance Analysis of Power Line Communication System for Massive Indoor IoT Applications

Mai Hassan

¹ Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada

*Corresponding author

This study explores the utilization of low-voltage indoor power line communication (PLC) technology within the framework of a split centralized radio access network (C-RAN) architecture, aimed at enhancing 5G indoor mobile coverage for the Internet of Things (IoT). A primary focus of this investigation is the comprehensive evaluation of the system’s performance in terms of radio and access latency. Several critical variables come into play, including available bandwidth, the chosen transmission technology, and the number of wireless IoT devices within the network. An analytical model, employing queuing theory, Markovian models, and stochastic geometry, is formulated to assess the radio-access delay spanning the air interface and the innovative PLC-based front-hauling system proposed in our previous study. The precision of this model is validated through simulations, ensuring that the proposed system effectively meets the stringent latency constraints required by eCPRI, thus contributing to the improvement of 5G indoor mobile coverage for the IoT network.

Massive Machine type communication (mMTC), Internet of things (IoT), Stochastic geometry, Queuing theory, Markovian models, Power Line communication (PLC)

Mai Hassan, Hesham G. Moussa, and Pin-Han Ho (2023). Performance Analysis of Power Line Communication System for Massive Indoor IoT Applications. Journal of Networking and Network Applications, Volume 3, Issue 3, pp. 137–147. https://doi.org/10.33969/J-NaNA.2023.030305.

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