Traffic Load Based Efficient Energy Management Technique for 5G Small Cell Network

Syed Zahidur Rashid, A. Gafur, Atikur Rahaman, Yaheya Solaiman, Erfanul Hoque Bahadur
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Abstract

There will be high energy wastage and CO2 emissions will be increased in 5G network because of dense deployment of small cell base stations. This paper brings an efficient energy management technique for 5G green small cell network which switches on as such number of antennas from the array as needed. This is done by monitoring and counting the amount of data traffic within the area of the small cell. It is shown that the proposed scheme is capable to improve energy saving significantly. We have found that the scheme consumes up to 96.875% less energy than without energy management technique. Besides, the emission of CO2 is reduced by 2.3166kg per day when the small cell is operated by a diesel power source and for all kinds of power sources on average CO2 emission can be reduced by 1.612 kg per day.
基于流量负荷的5G小蜂窝网络高效能量管理技术
由于小型蜂窝基站的密集部署,5G网络将存在较高的能源浪费和二氧化碳排放量。本文提出了一种高效的5G绿色小蜂窝网络能量管理技术,该技术可以根据需要从阵列中打开任意数量的天线。这是通过监视和计算小单元区域内的数据流量来实现的。结果表明,该方案能够显著提高节能效果。我们发现,该方案比没有能源管理技术的情况下节省了96.875%的能源。此外,当小电池使用柴油动力源时,每天可减少二氧化碳排放量2.3166kg,在各种动力源下,平均每天可减少二氧化碳排放量1.612 kg。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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