Energy Efficiency Analysis Of Small Cell Network

Recently, mobile operators are facing exponential growth in the demand for data traffic and they need to increase investment in network expansion and upgrade. The capital expenditure(CAPEX) and the operational expenditure(OPEX) reduce the revenues, and related carbon dioxide emissions have become the focus of the ecological environment protection. Therefore, small cell networks are presented as an important solution to meet the demands. When the density of base station(BS) increases rapidly, the analysis of energy efficiency(EE) of small-cell has become an effective way to save energy and achieve sustainable development of green communications. Comparing with the Massive Multiple Input Multiple Output(MIMO), this thesis analyzes the EE of small-cell from the aspects of BS density, user density, BS circuit power consumption and the number of BS antennas.Firstly, this thesis analyzes the impact of BS density and user density on the energy efficiency of small-cell in different sleep modes. The impact of density ratio of BSs and users on average user rate and EE under random sleep mode and conventional sleep mode is studied. Secondly, this thesis analyzes EE of small-cell with different antennas and comes to the conclusion that trade-offs should be made between EE and spectral efficiency(SE). Finally, the comparison between EE of small-cell and the Massive MIMO is analyzed under the factors of cell edge signal noise ratio(SNR), the sleep policy of BS and the circuit power consumption. Through simulation, the thesis gets the conclusion that massive MIMO achieves higher EE than small cell network by consuming lower circuit power when the number of cells is small. And no matter what the value of power consumption is, small cell network is always more energy efficient than Massive MIMO when the number of cells is large.