  Large-scale fading (LSF) between interacting nodes is a fundamental element
in radio communications, responsible for weakening the propagation, and thus
worsening the service quality. Given the importance of channel-losses in
general, and the inevitability of random spatial geometry in real-life wireless
networks, it was then natural to merge these two paradigms together in order to
obtain an improved stochastical model for the LSF indicator. Therefore, in
exact closed-form notation, we generically derived the LSF distribution between
a prepositioned reference base-station and an arbitrary node for a
multi-cellular random network model. In fact, we provided an explicit and
definitive formulation that considered at once: the lattice profile, the users'
random geometry, the effect of the far-field phenomenon, the path-loss
behavior, and the stochastic impact of channel scatters. The veracity and
accuracy of the theoretical analysis were also confirmed through Monte Carlo
simulations.
