Continuous Cell Zooming Algorithm Towards Energy Efficient in Random Heterogeneous Cellular Networks

This paper presents an energy efficient aware continuous cell zooming algorithm based on green random cellular heterogeneous networks (HetNet). Firstly, we derive a two-tier Poisson Voronoi Tessellation (PVT) random heterogeneous network model in which the macro base stations (MBS), small-cells base stations (SBS), macro users (MU) and small-cell users (SU) locations are drawn randomly from independent homogeneous Poisson point processes (HPPPs). Secondly, by updating the SUs’ locations in SBSs periodically, the radius of the cells can be adjusted adaptively to achieve cell zooming. The performance of this work is examined under different user densities and ratios compared with reference algorithm. Numerical evaluations show that our proposed algorithm can significantly decrease system energy consumption and improve energy efficient.