Abstract
This paper deals with the statistical modeling of key features of power line communication (PLC) channels that are necessary for designing data communication systems that operate over theses channels. The key features are average channel attenuation, root mean squared delay spread, coherence bandwidth and coherence time. All these features were estimated from in-home PLC channels measured in seven distinct and typical Brazilian residences. Assuming that each feature is a random variable, four criteria (i.e., maximum likelihood estimate and three different information criteria) are used to select the statistical distribution that offers the best fits for each attribute. During this process, the symmetry and asymmetry of the histogram associated with each feature is pointed out. The reported results focus on three frequency bands, namely: from 1.7 MHz up to 30 MHz, from 1.7 MHz up to 50 MHz and from 1.7 MHz up to 100 MHz, which are useful for with Europe, North America and Brazil. The findings report similarities and discrepancies with previous statistical models related to US and Europe and enables one to better design practical PLC devices.
Highlights
T HE need for nurturing the technologies for Smart Grid (SG), Internet of Things (IoT) and Industry 4.0 demands the introduction of pervasive telecommunication systems and, as a consequence, the scarcity of spectrum may be alleviated by using all available medium for data communication purposes [1]–[3]
The statistical characterization and modeling of the most important power line communication (PLC)-channel features were supported by estimates of channel frequency responses (CFRs), which were obtained from a measurement campaign in seven Brazilian in-home facilities
Statistical analyses were performed in the data sets of the average channel attenuation (ACA), root mean squared delay spread (RMS-DS), coherence bandwidth (CB), and coherence time (CT) features, extracted from the measured in-home PLC channels covering the following three frequency bands:
Summary
T HE need for nurturing the technologies for Smart Grid (SG), Internet of Things (IoT) and Industry 4.0 demands the introduction of pervasive telecommunication systems and, as a consequence, the scarcity of spectrum may be alleviated by using all available medium for data communication purposes [1]–[3]. The specification and design of PLC systems, which maximize the usage of available channel resources under the imposed constraints, requires a thorough study of the main features of electric power grids in the data communication perspective. Aiming to provide a better understanding about Brazilian electric power grids usability for data communication purposes, this work focuses on a comprehensive discussion of statistical modeling of key features of Brazilian in-home PLC channels, covering three important frequency bands. In this regard, the main contributions of this paper are the following:.
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