Component and parameterised power model for cloud radio access network

Abstract

The fifth generation cellular network performance is measured by its spectral and energy efficiency (EE). Densifying the network might provide a solution. However, this will lead to tremendous network infrastructure and increased power consumption (PC). Cloud radio access network (C-RAN) has emerged as a solution to curtail the PC and deliver spectrum sharing in a cost-effective and energy-efficient way. Since the PC is an important key success for the upcoming generations, and in order to study and evaluate the power reductions achievable by C-RAN, a reliable power model (PM) is required. This study proposes a component, linear and parameterised PMs to explore the individual components relevant for PC analysis, particularly for C-RAN architecture. The models quantify the EE by capturing the power consumed by individual components, and the amount of power reduced in the network. The model shows a dramatic reduction in the cooling PC (87.4%), whereas the total PC is reduced to about (33.3%) compared with macro base stations deployment. Finally, accuracy comparison of the component and parameterised models has been presented.