  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.
