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Mean path loss.
Fig. 4 The local mean path loss includes the mean path loss and the shadow fading.
When we have both the local mean path loss and the mean path loss, we can easily obtain the deterministic shadowing from the MR-FDPF model by just subtracting the mean path loss from the local mean path loss.
And finally, the shadow fading can be easily obtained by subtracting the mean path loss from the local mean path loss.
The local mean path loss includes the mean path loss and the shadow fading as shown in Fig. 4. Since we already know that the mean path loss is log dependent on the Tx-Rx separation distance d according to (5), we can obtain the mean path loss by using the Matlab curve fitting tool.
After removing the small-scale fading, we obtain the local mean path loss.
Hence, on average, blockages impose an additional exponential attenuation on the mean path loss (conf. (4)).
The mean path loss is the main factor which determines the coverage area of a transmitter.
It is {L_{text{sim}}}left(d right) = 49.05 + 10 times 1.653 cdot {log_{10}}left(d right) (16) Fig. 6 The extracted local mean path loss and the fitted mean path loss from the MR-FDPF model.
When the length of the superlattice's period is comparable to the phonon-free mean path, the heat transfer becomes ballistic.
On the one hand, the 3DGNs provide a fast transport network, increasing the average mean path of phonons.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com