{"title":"An energy-efficient WiFi offloading model in a heterogeneous network","authors":"B. H. Jung, Nah-Oak Song, D. Sung","doi":"10.1109/OnlineGreenCom.2014.7114433","DOIUrl":null,"url":null,"abstract":"In this paper, we model power consumption of a heterogeneous network consisting of overlapped cellular and WiFi networks. Then, we propose a novel WiFi offloading model for maximizing per-user energy efficiency in terms of bps per Joule. In the proposed WiFi offloading model, the heterogeneous network gathers user information and decides which portion of generated per-user traffic should be transmitted via WiFi networks in order to maximize the per-user energy efficiency; the heterogeneous network informs users of this portion, i.e, WiFi offloading ratio. Finally, each user offloads the traffic from the cellular network by the WiFi offloading ratio. Consequently, a user and the heterogeneous network achieve more than 20% higher energy efficiency than the conventional WiFi offloading model in a dense traffic environment through the proposed WiFi offloading model.","PeriodicalId":412965,"journal":{"name":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Online Conference on Green Communications (OnlineGreenComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OnlineGreenCom.2014.7114433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, we model power consumption of a heterogeneous network consisting of overlapped cellular and WiFi networks. Then, we propose a novel WiFi offloading model for maximizing per-user energy efficiency in terms of bps per Joule. In the proposed WiFi offloading model, the heterogeneous network gathers user information and decides which portion of generated per-user traffic should be transmitted via WiFi networks in order to maximize the per-user energy efficiency; the heterogeneous network informs users of this portion, i.e, WiFi offloading ratio. Finally, each user offloads the traffic from the cellular network by the WiFi offloading ratio. Consequently, a user and the heterogeneous network achieve more than 20% higher energy efficiency than the conventional WiFi offloading model in a dense traffic environment through the proposed WiFi offloading model.