{"title":"可再生能源混合蜂窝网络的网格能量消耗","authors":"Hussein Al Haj Hassan, K. Singh, L. Nuaymi","doi":"10.1109/OnlineGreenCom.2016.7805398","DOIUrl":null,"url":null,"abstract":"The usage of renewable energy has emerged as a promising solution for reducing the grid energy consumption of cellular networks. In this paper, we study the trade-off of users' satisfaction and grid energy consumption considering different types of traffic. Users' satisfaction of each type of traffic is represented by a utility function, as this allows for a better trade-off between energy consumption and users' satisfaction. The problem is formulated as a weighted sum of two objectives, power demand and average users utility. Then, we study the users' satisfaction and power demand considering two types of schedulers. Finally, we study the trade-off between grid energy consumption and users' satisfaction for different weightage of each of the two objectives. Results show that grid energy consumption can be reduced of up to 40% with only 6% degradation in terms of users' satisfaction.","PeriodicalId":143498,"journal":{"name":"2016 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Grid energy consumption of mixed-traffic cellular networks with renewable energy sources\",\"authors\":\"Hussein Al Haj Hassan, K. Singh, L. Nuaymi\",\"doi\":\"10.1109/OnlineGreenCom.2016.7805398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The usage of renewable energy has emerged as a promising solution for reducing the grid energy consumption of cellular networks. In this paper, we study the trade-off of users' satisfaction and grid energy consumption considering different types of traffic. Users' satisfaction of each type of traffic is represented by a utility function, as this allows for a better trade-off between energy consumption and users' satisfaction. The problem is formulated as a weighted sum of two objectives, power demand and average users utility. Then, we study the users' satisfaction and power demand considering two types of schedulers. Finally, we study the trade-off between grid energy consumption and users' satisfaction for different weightage of each of the two objectives. Results show that grid energy consumption can be reduced of up to 40% with only 6% degradation in terms of users' satisfaction.\",\"PeriodicalId\":143498,\"journal\":{\"name\":\"2016 IEEE Online Conference on Green Communications (OnlineGreenComm)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Online Conference on Green Communications (OnlineGreenComm)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OnlineGreenCom.2016.7805398\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Online Conference on Green Communications (OnlineGreenComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OnlineGreenCom.2016.7805398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Grid energy consumption of mixed-traffic cellular networks with renewable energy sources
The usage of renewable energy has emerged as a promising solution for reducing the grid energy consumption of cellular networks. In this paper, we study the trade-off of users' satisfaction and grid energy consumption considering different types of traffic. Users' satisfaction of each type of traffic is represented by a utility function, as this allows for a better trade-off between energy consumption and users' satisfaction. The problem is formulated as a weighted sum of two objectives, power demand and average users utility. Then, we study the users' satisfaction and power demand considering two types of schedulers. Finally, we study the trade-off between grid energy consumption and users' satisfaction for different weightage of each of the two objectives. Results show that grid energy consumption can be reduced of up to 40% with only 6% degradation in terms of users' satisfaction.