Energy Harvesting and Cell Zooming in K – Tier Heterogeneous Random Cellular Networks

n this work, we study the performance of K..tier heterogeneous random cellular networks (HetNets) in terms of Energy Efficiency (EE) and Spectral Efficiency (SE). In order to improve efficiency, two Cell Zooming (CZ) techniques, namely telescopic and ON/OFF schemes, are applied to these networks. Accordingly, we investigate two scenarios in this work. First, we focus on a single tier scenario and derive a new expression for the ergodic capacity of a Poisson Voronoi Tessellation (PVT) random cellular network using stochastic geometry. Besides, the EE and SE of this model are depicted for several user densities and CZ parameters. In the second scenario, we investigate multitier HetNets in which the Base Stations gather their required energy from the environment. Therefore, two important concepts in green cellular networks, namely CZ and Energy Harvesting (EH), are addressed in this work. Subsequently, numerical results show the performance improvement in terms of the coverage and blocking probabilities in addition to EE and SE.