# A Synthetic Statistical MIMO PLC Channel Model Applied to an In-Home Scenario

## TL;DR

This paper introduces a compact synthetic statistical MIMO power line communication channel model based on experimental data, effectively capturing key channel properties with minimal parameters for in-home scenarios.

## Contribution

It presents a novel phenomenological model that synthesizes statistical properties of MIMO PLC channels using a small parameter set, improving modeling efficiency.

## Key findings

- Model accurately reproduces average channel gain
- Captures delay spread and coherence bandwidth
- Aligns well with measured channel capacity distributions

## Abstract

This paper proposes a synthetic statistical top-down MIMO power line communications channel model based on a pure phenomenological approach. The basic idea consists of directly synthesizing the experimental channel statistical properties to obtain an extremely compact model that requires a small set of parameters. The model is derived from the analysis of the in-home 2 $\times$ 3 MIMO PLC channel data set obtained by the ETSI Specialist Task Force 410 measurement campaign in the band 1.8-100 MHz. The challenge of modeling the channel statistical correlation, exhibited among the frequencies and between the MIMO modes, in compact form is tackled and it is shown that a small set of parameters can be used to reconstruct such a correlation behavior. The model is validated and compared to the measured channels, showing a good agreement in terms of average channel gain, root-mean-square delay spread, coherence bandwidth, and channel capacity distribution.