Syphax Iskounen, T. Nguyen, Sébastien Monnet, Lyes Hamidouche
{"title":"Device-to-Device communications using Wi-Fi direct for dense wireless networks","authors":"Syphax Iskounen, T. Nguyen, Sébastien Monnet, Lyes Hamidouche","doi":"10.1109/NOF.2016.7810126","DOIUrl":null,"url":null,"abstract":"Device-to-device (D2D) communications have been widely studied for traffic offloading in cellular networks. In this paper, we demonstrate that D2D communications can also be used to offload the Wi-Fi access point in a dense wireless network. Wi-Fi Direct, a popular wireless technology available in tablets and smartphones, is used to realize D2D communications. Clustering, power control and transmission scheduling techniques are applied to optimize the network performances. The simulation results show that a significant performance gain can be obtained with a download time reduction up to 30%.","PeriodicalId":208097,"journal":{"name":"2016 7th International Conference on the Network of the Future (NOF)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on the Network of the Future (NOF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOF.2016.7810126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Device-to-device (D2D) communications have been widely studied for traffic offloading in cellular networks. In this paper, we demonstrate that D2D communications can also be used to offload the Wi-Fi access point in a dense wireless network. Wi-Fi Direct, a popular wireless technology available in tablets and smartphones, is used to realize D2D communications. Clustering, power control and transmission scheduling techniques are applied to optimize the network performances. The simulation results show that a significant performance gain can be obtained with a download time reduction up to 30%.