{"title":"Traffic Load Based Efficient Energy Management Technique for 5G Small Cell Network","authors":"Syed Zahidur Rashid, A. Gafur, Atikur Rahaman, Yaheya Solaiman, Erfanul Hoque Bahadur","doi":"10.1109/ICASERT.2019.8934585","DOIUrl":null,"url":null,"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.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"66 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASERT.2019.8934585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.