Energy efficiency (EE) is receiving increasing attention in research on mobile access communications technologies because the carbon dioxide (CO2) emissions of energy sources adversely affect the environment and the energy consumption in the mobile in...
Energy efficiency (EE) is receiving increasing attention in research on mobile access communications technologies because the carbon dioxide (CO2) emissions of energy sources adversely affect the environment and the energy consumption in the mobile industry is rapidly increased. Mobile network operators are interested in reducing the energy consumption or increasing the EE of their networks for economical reasons. The base stations (BSs) as major contributor to CO2 emission in the network are ignored for the most part until recently while mobile devices are designed for EE due to stringent constraints regarding power supply. This yields potential capabilities to increase the EE for today’s mobile networks. Some research focuses on improving the EE on the BS through optimizing the operating energy consumption required via increasing the number of deployed BSs with reduced transmission power. Exploiting the advantage that relay station (RS) is expected to consume less power due to small transmission ranges, we analyze and evaluate the energy efficient BS power allocation in a single cell heterogeneous networks where two or more entities (relay, pico cell, femto cell, etc.) coexist with the same site. The novel concept and schemes of energy efficient BS power allocation is proposed from theoretical approach. We also consider the energy efficient power allocation problem for the downlink in multi-cell heterogeneous network. We model the problem of maximizing the energy efficient utility as a non-cooperative power allocation game for homogeneous and heterogeneous networks and develop the distributed algorithms from the game. Considering a situation that there are multiple MSs within the cell, we evaluate the performance of the proposed power allocation schemes in practical simulation environment.