A Time-Domain Model of Background Noise for In-Home MIMO PLC Networks

Abstract

Multiple-Input Multiple-Output (MIMO) techniques have recently become an important research field for enhancing the performance of in-home Power Line Communication (PLC) systems by exploiting the additional Protective Earth wire. The development of such systems requires an accurate description of the channel noise. In this paper we have presented a model for PLC background noise based on an extensive set of measurements. We have adopted the framework of multivariate time series to model the PLC background noise. This paper employs the Vector Autoregressive (VAR) modeling technique to extract noise model parameters from the measured noise. We have verified the accuracy of the noise model by comparing time and frequency domain correlation of measured and modeled noises.

The Impact of Statistical Noise Modeling on the Error-Rate Performance of OFDM Power-Line Communications

“…In particular, the selected OFDM modulation is characterized by the following parameters: 1) useful band: 2-30 MHz; 2) symbol period: 10 ns; 3) data rate: 75.3 Mb/s; 4) FFT order 2048; 5) number of useful subcarriers 574 (with 39, 411); 6) CP length: 1000 (the resulting CP duration is equal to s); and 7) constellation: 16-QAM over each subcarrier 16). The simulated power-line communication channel has the following features: 1) number of backbones: 5; 2) minimum and maximum number of branches for each backbone: 1 and 6, respectively; 3) minimum and maximum distance separating two branches on the same backbone 1 m and 4 m, respectively; 4) minimum and maximum length of each branch: 0.5 m and 2 m, respectively; 5) minimum and maximum resistance of the power loads:…”

“…• models based on fitting the pdf of power-line noise samples [13], [17]- [20], [28]; • models based on fitting the PSD of power-line noise [15], [16], [29]- [32];…”

“…Various research results available in the technical literature are evidence that the properties of the noise affecting indoor power-line channels are usually very different from those encountered in their wireless counterparts. In fact, noise is not usually stationary [5]- [11], white [12]- [16], and Gaussian [17]- [20], and should be represented as the superposition of distinct components, characterized by different statistical features. Despite the apparent complexity of noise modeling, various attempts have been made to develop simplified parametric statistical models for this channel impairment.…”

“…Despite the apparent complexity of noise modeling, various attempts have been made to develop simplified parametric statistical models for this channel impairment. In particular, cyclostationary models, based on adapting the instantaneous power spectral density (PSD) of channel noise to experimental measurements, have been proposed in [5]- [12], [15], [16]. Other contributions in this research field have aimed at providing an accurate characterization of the probability density function (PDF) of the impulsive component of powerline noise [13], [18]- [20].…”

An Overview of the HomePlug AV2 Technology

“…This results in a higher spatial correlation of the MIMO-PLC channel than compared to radio MIMO channels. More information about the MIMO-PLC channel characteristics and channel modeling may be found in [6][7][8][9][10][11][12][13][14][15][16][17][18].…”