{"title":"基于云协同异构网络的延迟卸载区关联","authors":"E. M. Mohamed, K. Sakaguchi, S. Sampei","doi":"10.1109/WCNCW.2015.7122584","DOIUrl":null,"url":null,"abstract":"Delayed offloading of mobile user delay tolerant traffic, through other networks such as WiFi networks or millimeter wave (mm-w) gates, is a promising solution for dealing with the ever-growing problem of wireless cellular network capacity. In this paper, we investigate the problem of how we can optimally associate a user with delayed traffic to a nearby offloading zone, i.e., to which nearby offloading zone a user with delayed traffic should be associated. Towards that, we propose an adaptive scheme for offloading zone association, including a weighted proportional fairness (WPF) online algorithm for optimal zone selection. The proposed scheme is a network-based, which maximizes the total system offloading and the users offloading experiences (OFEs). To efficiently implement the proposed scheme, we also suggest a cloud cooperated heterogeneous network (CC-HetNet) to hold the delayed offloading process in a cloud cooperated manner. In this CC-HetNet, the offloading zones and the Macro Base station (BS) are linked to the Centralized Radio Access Network (C-RAN) using high speed backhaul links. The proposed scheme of offloading zone association will be implemented in the C-RAN as an enhanced Access Network Discovery and Selection Function for delayed offloading networks.","PeriodicalId":123586,"journal":{"name":"2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Delayed offloading zone associations using cloud cooperated heterogeneous networks\",\"authors\":\"E. M. Mohamed, K. Sakaguchi, S. Sampei\",\"doi\":\"10.1109/WCNCW.2015.7122584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Delayed offloading of mobile user delay tolerant traffic, through other networks such as WiFi networks or millimeter wave (mm-w) gates, is a promising solution for dealing with the ever-growing problem of wireless cellular network capacity. In this paper, we investigate the problem of how we can optimally associate a user with delayed traffic to a nearby offloading zone, i.e., to which nearby offloading zone a user with delayed traffic should be associated. Towards that, we propose an adaptive scheme for offloading zone association, including a weighted proportional fairness (WPF) online algorithm for optimal zone selection. The proposed scheme is a network-based, which maximizes the total system offloading and the users offloading experiences (OFEs). To efficiently implement the proposed scheme, we also suggest a cloud cooperated heterogeneous network (CC-HetNet) to hold the delayed offloading process in a cloud cooperated manner. In this CC-HetNet, the offloading zones and the Macro Base station (BS) are linked to the Centralized Radio Access Network (C-RAN) using high speed backhaul links. The proposed scheme of offloading zone association will be implemented in the C-RAN as an enhanced Access Network Discovery and Selection Function for delayed offloading networks.\",\"PeriodicalId\":123586,\"journal\":{\"name\":\"2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNCW.2015.7122584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNCW.2015.7122584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Delayed offloading zone associations using cloud cooperated heterogeneous networks
Delayed offloading of mobile user delay tolerant traffic, through other networks such as WiFi networks or millimeter wave (mm-w) gates, is a promising solution for dealing with the ever-growing problem of wireless cellular network capacity. In this paper, we investigate the problem of how we can optimally associate a user with delayed traffic to a nearby offloading zone, i.e., to which nearby offloading zone a user with delayed traffic should be associated. Towards that, we propose an adaptive scheme for offloading zone association, including a weighted proportional fairness (WPF) online algorithm for optimal zone selection. The proposed scheme is a network-based, which maximizes the total system offloading and the users offloading experiences (OFEs). To efficiently implement the proposed scheme, we also suggest a cloud cooperated heterogeneous network (CC-HetNet) to hold the delayed offloading process in a cloud cooperated manner. In this CC-HetNet, the offloading zones and the Macro Base station (BS) are linked to the Centralized Radio Access Network (C-RAN) using high speed backhaul links. The proposed scheme of offloading zone association will be implemented in the C-RAN as an enhanced Access Network Discovery and Selection Function for delayed offloading networks.