Energy efficiency optimization of heterogeneous networks

Abstract

In this study, we aim to optimize the energy efficiency of a 2-tier heterogeneous cellular network that consists of macro and micro cells. We model macro and micro cell tiers by employing two separate stochastic processes. Then, we propose a constrained optimization problem, and show that the energy efficiency is a monotone increasing and a concave function of micro cell density. By using these characteristics, we offer a parametric solution for the energy efficiency problem. In addition, we simulate certain scenarios to verify our theoretical findings, and investigate the effects of macro cell density and area power consumption constraint on the optimum energy efficiency and the optimum micro cell density.