Energy Efficiency Evaluation of Cellular Networks Based on Spatial Distributions of Traffic Load and Power Consumption

TL;DR

This paper develops a model to evaluate energy efficiency in cellular networks with spatial traffic and power load distributions, revealing maximum efficiency limits under certain conditions.

Contribution

It introduces a novel energy efficiency model for PVT cellular networks considering spatial traffic and power distributions, extending analysis to entire networks using Palm theory.

Findings

Existence of maximum energy efficiency limits for given conditions

Model validated through numerical and Monte Carlo simulations

Energy efficiency depends on traffic load, channel effects, and interference

Abstract

Energy efficiency has gained its significance when service providers' operational costs burden with the rapidly growing data traffic demand in cellular networks. In this paper, we propose an energy efficiency model for Poisson-Voronoi tessellation (PVT) cellular networks considering spatial distributions of traffic load and power consumption. The spatial distributions of traffic load and power consumption are derived for a typical PVT cell, and can be directly extended to the whole PVT cellular network based on the Palm theory. Furthermore, the energy efficiency of PVT cellular networks is evaluated by taking into account traffic load characteristics, wireless channel effects and interference. Both numerical and Monte Carlo simulations are conducted to evaluate the performance of the energy efficiency model in PVT cellular networks. These simulation results demonstrate that there exist maximal limits for energy efficiency in PVT cellular networks for given wireless channel conditions and user intensity in a cell.