Live Covid-19
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Active: 80,791

Improving Energy Efficiency through Reduction of Power Consumption in the Base Station or a Cell Site using Neuro-Fuzzy Controller

Improving Energy Efficiency through Reduction of Power Consumption in the Base Station or a Cell Site using Neuro-Fuzzy Controller

ABSTRACT

The high-power consumption in modules of a cell site has led to a high bit error rate, congestion, and high cost of power consumed. This has equally led to low network performance in the base station. This is overcome by improving energy efficiency through reduction of power consumption in the base station or a cell site using a neuro-fuzzy controller. This is overcome in this manner, characterizing and determining the power consumption of the modules of the cell site under study, developing a Simulink model for the cell site under study, designing a rule the base that would monitor the power consumed by the cell site and reduced it if raised, training ANN in this rule the base for effective monitoring of the power consumed by the cell site and reduced it if raised. Finally, design a SIMULINK model for improving energy efficiency through reduction of power consumption in the base station or a cell site using a neuro-fuzzy controller and validating and justifying the percentage of power consumption reduction of the modules of the cell site with and without incorporation of neuro-fuzzy. The results obtained are 532KW power consumed in the base station when neuro-fuzzy is not incorporated in the system and 514.9KW when neuro-fuzzy is incorporated in the system. With these results obtained, it shows that the percentage reduction of power consumed at the base station when neuro-fuzzy is imbibed in the system is 3.21%.

Keywords: Improving, Energy Efficiency, Reduction of Power Consumption, Neuro-Fuzzy Controller

Authorship
Ogwugwuam, Christopher E. PhD. and Ogwugwuam, Fumnanya O. | Full PDF

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