Performance of Dense Wireless Networks in 5G and beyond Using Stochastic Geometry

Stochastic Geometry for Wireless Networks

Covering point process theory, random geometric graphs, and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance, and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integra...

Stochastic Geometry and Wireless Networks; Vol.II: Applications

Stochastic Geometry Analysis of Ultra-Dense Networks: Impact of Antenna Height and Performance Limits

The concept of Ultra Dense Networks (UDN) is often seen as a key enabler of the next generation mobile networks. However, existing analysis of UDNs, including Stochastic Geometry, has not been able to fully determine the potential gains and limits of densification. In this paper we study performance of UDNs in downlink and provide new insights on the impact of antenna height and careful site se...

Performance Analysis of Local Anchor Based 5g Hetnets Using Stochastic Geometry

In heterogeneous 5G networks (HetNets) a local anchor node ensures coordination among small cell low power nodes (LPNs). User equipment (UE) that cannot directly reach the local anchor node will transmit and receive data through LPN. To facilitate measurement of the interference power for this 2-hop hierarchical network topology, a total distance distribution between a UE and a local anchor is ...

Stochastic geometry modeling of spatial wireless communication networks — beyond the Poisson assumption

There is a need for simple, yet realistic models for communication network architectures capturing the spatial distribution of the elements of the network and having a limited number of parameters. This can be obtained via probabilistic modeling based on point processes and stochastic geometry. The probabilistic setting reflects the network variability in time and space, this is particularly re...