  We propose a multivariate log-normal distribution to jointly model received
power, mean delay, and root mean square (rms) delay spread of wideband radio
channels, referred to as the standardized temporal moments. The model is
validated using experimental data collected from five different measurement
campaigns (four indoor and one outdoor scenario). We observe that the received
power, mean delay and rms delay spread are correlated random variables and,
therefore, should be simulated jointly. Joint models are able to capture the
structure of the underlying process, unlike the independent models considered
in the literature. The proposed model of the multivariate log-normal
distribution is found to be a good fit for a large number of wideband
data-sets.
