{"title":"QoE model based on fuzzy logic system for offload decision in HetNets environment","authors":"N. Torjemen, G. E. M. Zhioua, N. Tabbane","doi":"10.1109/SETIT.2016.7939918","DOIUrl":null,"url":null,"abstract":"To cope the surge traffic demand, several approaches are proposed. The HetNet, based on LTE-A and Wi-Fi networks, is one of the promising architecture widely used by operators as the next generation of their cellular networks. In this paper, we propose a new offload schema from LTE-A to Wi-Fi. It is based on new QoE metric called QoE Score which allows to takes into consideration the business value of the users. The QoE Score is given by a fuzzy logic system and used as key metric for offload decision in our algorithm. Results show that more than 65% can be offloaded from LTE-A to Wi-Fi while ensuring a good end user QoE. In addition, it achieves better results compared to our previous multi constraints algorithm.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SETIT.2016.7939918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
To cope the surge traffic demand, several approaches are proposed. The HetNet, based on LTE-A and Wi-Fi networks, is one of the promising architecture widely used by operators as the next generation of their cellular networks. In this paper, we propose a new offload schema from LTE-A to Wi-Fi. It is based on new QoE metric called QoE Score which allows to takes into consideration the business value of the users. The QoE Score is given by a fuzzy logic system and used as key metric for offload decision in our algorithm. Results show that more than 65% can be offloaded from LTE-A to Wi-Fi while ensuring a good end user QoE. In addition, it achieves better results compared to our previous multi constraints algorithm.