On-site Energy Utilization Evaluation of Telecommunication Base Station: A Case Study of Western Uganda

TL;DR

This study analyzes the impact of traffic load on energy consumption of telecommunication base stations in rural and urban areas of western Uganda, using linear regression models based on 28 days of data.

Contribution

It introduces linear models that accurately relate traffic load to energy consumption for rural and urban base stations, considering site layout variations.

Findings

Energy consumption varies with traffic load.

Number of transceivers affects energy use.

Linear models fit well to observed data.

Abstract

Due to the widespread installation of Base Stations, the power consumption of cellular communication is increasing rapidly (BSs). Power consumption rises as traffic does, however, this scenario varies from geolocation to geolocation because sites in rural and urban areas have variable traffic loads. Therefore, in order to address various power consumption issues, it is necessary to analyze these sites and offer valid data that network operators can employ. This study took into account the impact of traffic load on energy consumption both in rural and urban locations in western Uganda because prior models did not adequately account for the impact of traffic load on both rural and urban sites. Regression models are used to examine these effects of traffic load on power consumption. Based on measurements taken for twenty-eight days in a row in six urban and rural areas, linear models have been presented. The findings showed that both rural and urban BTS were well-fitted by the suggested linear models. Depending on the layouts of the sites, it was found that energy consumption varied along with traffic, with the number of transceivers present having an impact on both the traffic load and energy consumption.