Cell Breathing Algorithm Based on Energy Efficiency in the High Density Heterogeneous Cellular Network

Cong ZHAO, Kun WU, Wei GUO

Abstract


The 5G network has become one of the hottest research focuses. In this network, it is a consensus reached that the user terminals are high density and the cover of the base stations are multi-tier. The unbalance and variability of the spatial distribution and time of user services make the low utilization ratio of the network resources. A cell breathing algorithm based on energy efficiency is proposed in this paper which combines energy control, base station sleeping and cell zooming. The simulation shows that this algorithm makes the network performance better in energy efficiency and can balance the load of the base stations.

Keywords


5G, Cell breath, Energy control, High density, Station sleep


DOI
10.12783/dtcse/wcne2017/19875

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