research work inaccurate when dealing with mmWave scenarios. Thus, a modified version of the discrete-time narrowband clustered channel model proposed by Akdeniz *et al.* in [@Akdeniz14] and further extended by Samimi and Rappaport in [@Samimi14] will be used in this paper to capture the peculiarities of mmWave channels.

The link between the $m$th and the $k$th will be considered to be in one out of three possible conditions: outage, or with probabilities:

$$p_{out}(d_{mk})=\max\left(0,1-e^{-a_{out}d_{mk}+b_{out}}\right),$$

$$p_{\gls{LOS}}(d_{mk})=\left(1-p_{out}(d_{mk})\right) e^{-a_{\gls{LOS}}d_{mk}},$$

$$p_{\gls{NLOS}}(d_{mk})=1-p_{out}(d_{mk})-p_{\gls{LOS}}(d_{mk}),$$

respectively, where $d_{mk}$ is the distance (in meters) between the and the , and, according to [@Akdeniz14 Table I], $1/a_{out}=30$ m, $b_{out}=5.2$, and $1/a_{\gls{LOS}}=67.1$ m. Those links that are in outage will be characterized with infinite propagation losses, while for the links that are not in outage, the propagation losses will be characterized using a standard linear model with shadowing as $$\operatorname{PL}(d_{mk})[dB]=\alpha+10 \beta \log_{10}(d_{mk})+\chi_{mk},$$ where $\alpha$ and $\beta$ are the least square fits of floating intercept and slope and depend on the carrier frequency and on whether the link is in or (see [@Akdeniz14 Table I]), and $\chi_{mk}$ denotes the large-scale shadow fading component, which is modelled as a zero mean spatially correlated normal random variable with standard deviation $\sigma_\chi$ (again, see [@Akdeniz14 Table 