{"title":"Clustering based power management for green LTE networks","authors":"R. Sachan, N. Saxena","doi":"10.1109/ICCCI.2014.6921819","DOIUrl":null,"url":null,"abstract":"The power consumption of wireless access networks is becoming an important issue in the green cellular-technology. The concept of green 4G LTE system depends on enhanced design strategy of efficient LTE energy system in order to reduce greenhouse emission as well as operators energy bill. In this paper we have studied eNB sleep modes to identify the traffic awareness in LTE networks and subsequently design a cooperative communication framework for energy consumption reduction. We calculated the percentage of energy which can be saved with eNB sleep modes, proving that it can be close to 30% of the total network energy consumption.","PeriodicalId":244242,"journal":{"name":"2014 International Conference on Computer Communication and Informatics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computer Communication and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCI.2014.6921819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The power consumption of wireless access networks is becoming an important issue in the green cellular-technology. The concept of green 4G LTE system depends on enhanced design strategy of efficient LTE energy system in order to reduce greenhouse emission as well as operators energy bill. In this paper we have studied eNB sleep modes to identify the traffic awareness in LTE networks and subsequently design a cooperative communication framework for energy consumption reduction. We calculated the percentage of energy which can be saved with eNB sleep modes, proving that it can be close to 30% of the total network energy consumption.