A Novel Cell Zooming Strategy towards Energy Efficient Based on Load Balancing in Random Heterogeneous Networks

This paper presents an energy efficient aware continuous cell zooming strategy based on load balancing in green network. Firstly, we derive a two-layer Poisson Voronoi Tessellation (PVT) random heterogeneous network (HetNets) model. Secondly, we periodically adjust the user equipment (UE) among cells to realize load balancing of the HetNets. According to base station cooperation, transferring or switching UE which in light-load or heavy-load at the same time. Finally, the radius of cells can be adjusted adaptively to achieve cell zooming. The performance of this work is examined under different user densities and ratios compared with some reference algorithms. Numerical evaluations show that our proposed algorithm can optimize system performance, ensure UE's quality of service (QoS) and improve energy efficient.