The rapidly increasing number of mobile devices, voluminous data, and higher data rate are
pushing to rethink the current generation of the cellular mobile communication. The next or …

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 …

Due to its tractability, a multitier model of mutually independent Poisson point processes
(PPPs) for heterogeneous cellular networks (HCNs) has recently been attracting much …

We introduce a simple yet powerful and versatile analytical framework for approximating the
SIR distribution in the downlink of cellular systems. It is based on the mean interference-to …

Millimeter wave (mmWave) signals are much more sensitive to blockage, which results in a
significant increase of the outage probability, especially for the users at the edge of the cells …

Interference modeling in cognitive radio network is important to ensure adequate coverage
in the network. A reliable interference model, however, depends on accurately …

The performance of cellular system significantly depends on its network topology, while
cellular networks are undergoing a heterogeneous evolution. This promising trend …

While stochastic geometric models based on Poisson point processes (PPPs) provide a
tractable approach for the analysis of uniform two-tier network deployments, the …

Device-to-device (D2D) communication is under active investigation and may be a key
feature in 5G networks for its great potential in improving network spectral and energy …

In this paper we introduce Stienen's model for analysing the performance of a non-uniform
two-tier networks. The topology of the network consists of a set of macro base stations …