Design and Analysis of Green Cellular Networks

Abstract

In this project, we proposed a three-state power consumption model for a base station in a cellular network, with dynamic allocation of active transceivers during the peak hours and fixed allocation of active transceivers during the non-peak hours. The purpose of this implementation is to reduce the energy consumption while maintaining the quality of service (QoS) of the base station. In other words, the energy can be used in a more efficient way with the least negative impact to the customers. The main focus of this project is to reduce the energy consumption of the transceivers in a base station. Using the program of Discrete Event Simulation (DES), the energy consumption and blocking probability can be obtained easily. Our traffic model allows for different arrival rates at different time (peak hour and non-peak hour) to more closely reflect reality. In order to analyze the energy consumption of a base station under different power consumption models, simulation programs for different power consumption models were built. Three-state power consumption model with hybrid mode specifies the reduction of energy consumption of the transceivers and least negative impact on the quality of service. Although the blocking probability of three-state power consumption model is higher than the other power consumption model, it is still within the one percentage point of blocking probability requirement. Also, it has a better performance in energy optimization, where it has the least total energy consumption model. Therefore, the proposed power consumption model is recommended to be implemented in the base station to save energy.