This paper deals with the medium-voltage (MV) power line communication (PLC) in the context of energy harvesting. To do so, a measurement campaign was carried out in urban and rural environments of Curitiba city, Brazil. This measurement campaign estimated the MV-PLC additive noise in these electric power networks. Numerical results show that the mean power, for distinct RF-to-DC conversion factors, in the urban environment is higher than in the rural one. Also, the achievable data rate analysis over the MV electric power networks shows the usefulness of this additive noise for feeding low-bit-rate devices.
This study discusses a measurement campaign carried out over medium-voltage distribution networks, covering the frequency band 100-500 kHz. From the obtained data set, magnitude of channel frequency responses, average channel attenuation, additive noise power spectral density, and achievable data rate are investigated. A numerical analysis shows that the magnitude of the channel frequency response presents a low level of frequency selectivity in the analyzed frequency band. Also, the measured channels can achieve data rates over 3 Mbps.
This work introduces statistical models for the energy harvested from the in-home hybrid power line-wireless channel in the frequency band from 0 to 100 MHz. Based on numerical analyses carried out over the data set obtained from a measurement campaign together with the use of the maximum likelihood value criterion and the adoption of five distinct power masks for power allocation, it is shown that the log-normal distribution yields the best model for the energies harvested from the free-of-noise received signal and from the additive noise in this setting. Additionally, the total harvested energy can be modeled as the sum of these two statistically independent random variables. Thus, it is shown that the energies harvested from this kind of hybrid channel is an easy-to-simulate phenomenon when carrying out research related to energy-efficient and self-sustainable networks.
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