The 802.11n channel model [3] includes the shadow fading by superimposing its path loss with a log-normal distribution which has been shown to be a well suited approximation [2]. Mathematically the log-normal distribution with variance $\sigma^2$ and standard deviation $\mu$ can be described as: $$p_{\mathrm{ln}}(x) = \begin{cases} \frac{1}{\sqrt{2\pi}\sigma x} \exp{\left(-\frac{(\ln{(x)}-\mu)^2}{2\sigma^2}\right)} & x > 0 \\ 0 & x \le 0 \\ \end{cases}$$ Superimposing it with the path loss model results in the following equation: $$L(d)(\mathrm{dB}) = \begin{cases} 20\log{\left(\frac{\lambda}{4\pi d}\right)} + 10\log{(p_{\mathrm{ln}}(x))} & d \le d_{\mathrm{bp}} \\ 20\log{\left(\frac{\lambda}{4\pi d}\right)} + 35\log{\left(\frac{d}{d_{\mathrm{bp}}}\right)} + 10\log{(p_{\mathrm{ln}}(x))} & d \ge d_{\mathrm{bp}} \\ \end{cases}$$ Each of the 6 scenarios have different $\sigma$ which are listed in the table below:
 scenario $\mathbf{\sigma}$(dB)(LOS) $\mathbf{\sigma}$(dB)(NLOS) Flat-Fading 3 4 Typical residential environment 3 4 Typical residential or small office environment 3 5 Typical office environment 3 5 Typical large open space and office environments 3 6 Large open space (indoor and outdoor) 3 6