Characterizing The SINR in Poisson Network Using Factorial Moment
Abstract
Usually, cellular networks are modeled by placing
each tier (e.g macro, pico and relay nodes) deterministically
on a grid. When calculating the metric performances such
as coverage probability, these networks are idealized for not
considering the interference. Overcoming such limitation by
realistic models is much appreciated. This paper considered two-
tier two-hop cellular network, each tier is consisting of two-hop
relay transmission, relay nodes are relaying the message to the
users that are in the cell edge. In addition, the locations of the
relays, base stations (BSs), and users nodes are modeled as a point
process on the plane to study the two hop downlink performance.
Then, we obtain a tractable model for the k-coverage probability
for the heterogeneous network consisting of the two-tier network.
Stochastic geometry and point process theory have deployed to
investigate the proposed two-hop scheme. The obtained results
demonstrate the effectiveness and analytical tractability to study
the heterogeneous performance.
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