{"title":"异构网络中节能WiFi卸载模型","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":"{\"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}","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}
An energy-efficient WiFi offloading model in a heterogeneous network
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.