Poisson Hole Process: Theory and Applications to Wireless Networks
Zeinab Yazdanshenasan, Harpreet S. Dhillon, Mehrnaz Afshang, Peter Han, Joo Chong

TL;DR
This paper introduces the Poisson Hole Process (PHP) as a more accurate model for interference in wireless networks with spatial interactions, providing tight bounds on interference and coverage probability.
Contribution
It derives the first tight bounds on the interference distribution in PHP, improving modeling accuracy over traditional Poisson models.
Findings
New bounds outperform existing approximations
Bounds are tight across operational regimes
Provides accurate coverage probability characterization
Abstract
Interference field in wireless networks is often modeled by a homogeneous Poisson Point Process (PPP). While it is realistic in modeling the inherent node irregularity and provides meaningful first-order results, it falls short in modeling the effect of interference management techniques, which typically introduce some form of spatial interaction among active transmitters. In some applications, such as cognitive radio and device-to-device networks, this interaction may result in the formation of holes in an otherwise homogeneous interference field. The resulting interference field can be accurately modeled as a Poisson Hole Process (PHP). Despite the importance of PHP in many applications, the exact characterization of interference experienced by a typical node in a PHP is not known. In this paper, we derive several tight upper and lower bounds on the Laplace transform of this…
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