{"title":"基于模糊逻辑系统的QoE模型在HetNets环境下的卸载决策","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":"{\"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}","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}
QoE model based on fuzzy logic system for offload decision in HetNets environment
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.