Abstract
We hereby present a novel interference mitigation strategy specifically
designed to enhance the quality of service that a typical terrestrial
user equipment (UE) would experience after the occurrence of a calamity.
In particular, we devise a novel stochastic geometry framework where the
functioning ground base stations are modeled as an inhomogeneous Poisson
point process, and promote proper silencing as an effective solution to
improve both coverage and reliability (which is usually overlooked in
emergency scenarios); in particular, the latter is evaluated by means of
the signal-to-interference-plus-noise ratio (SINR) meta distribution
performance metric. The derived downlink performances assume Rayleigh
fading conditions for all wireless links. The numerical results show
insightful trends in terms of both average coverage probability (which
is optimized by choosing the best area for applying the silencing
strategy) and SINR meta distribution, depending on: distance of the UE
from the disaster epicenter (henceforth intended as the center of the
area where the BS can be damaged), disaster radius (also referring to
the latter area), and quality of resilience of the terrestrial network.
The aim of this paper is therefore to prove the effectiveness of proper
silencing in emergency scenarios, at least from the coverage and
reliability perspectives.