Research on Power Line Carrier Communication Channel Modeling for Power Distribution and Consumption IoT

The information interaction in power distribution and consumption internet of things (IoT) requires high-speed, reliable and secure communication support. Power line carrier (PLC) communication provides an effective solution due to the low construction cost, wide coverage, and high transmission rate. However, the performance of PLC is effected by multipath fading, noise, and electromagnetic interference. Therefore, it is necessary to research on the PLC channel modeling. In this paper, three PLC channel modeling methods based on transmission line theory, graph theory, and machine learning are researched, which can achieve relatively accurate channel estimation and low error values between the estimated and the measured values.