1 research outputs found
A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics
We study the performance of wireless links for a class of Poisson networks,
in which packets arrive at the transmitters following Bernoulli processes. By
combining stochastic geometry with queueing theory, two fundamental measures
are analyzed, namely the transmission success probability and the meta
distribution of signal-to-interference-plus-noise ratio (SINR). Different from
the conventional approaches that assume independent active states across the
nodes and use homogeneous point processes to model the locations of
interferers, our analysis accounts for the interdependency amongst active
states of the transmitters in space and arrives at a non-homogeneous point
process for the modeling of interferers' positions, which leads to a more
accurate characterization of the SINR. The accuracy of the theoretical results
is verified by simulations, and the developed framework is then used to devise
design guidelines for the deployment strategies of wireless networks