{"title":"An energy saving approach for femtocell coverage function","authors":"A. Dudnikova, D. Panno","doi":"10.1109/SSEEGN.2013.6705395","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a self-optimization coverage function for LTE femtocells embedded in a macrocell area. In this approach each Femtocell Base Station continuously adapts the operation mode according to the traffic conditions in order to fulfill the following objectives: improve the overall system capacity, reduce co-channel interference between adjacent femtocells, improve energy efficiency of the overall system. The proposed algorithm is distributed without any signaling overhead compared to a centralized solution. In a low load scenario our power control scheme limits the number of simultaneously activated femtocells, achieving a significant power saving on the entire femtocell network. As the number of active users increases, each Femto Base Station adapts its transmit power, and thus the coverage, as a function of the traffic demand, aiming to offload more traffic from the macrocell. This results in an improved overall system capacity and a larger energy efficiency of the overall cellular network.","PeriodicalId":167454,"journal":{"name":"2013 22nd ITC Specialist Seminar on Energy Efficient and Green Networking (SSEEGN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 22nd ITC Specialist Seminar on Energy Efficient and Green Networking (SSEEGN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSEEGN.2013.6705395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, we propose a self-optimization coverage function for LTE femtocells embedded in a macrocell area. In this approach each Femtocell Base Station continuously adapts the operation mode according to the traffic conditions in order to fulfill the following objectives: improve the overall system capacity, reduce co-channel interference between adjacent femtocells, improve energy efficiency of the overall system. The proposed algorithm is distributed without any signaling overhead compared to a centralized solution. In a low load scenario our power control scheme limits the number of simultaneously activated femtocells, achieving a significant power saving on the entire femtocell network. As the number of active users increases, each Femto Base Station adapts its transmit power, and thus the coverage, as a function of the traffic demand, aiming to offload more traffic from the macrocell. This results in an improved overall system capacity and a larger energy efficiency of the overall cellular network.