{"title":"在LTE网络上的实时视频流与移动到移动的合作","authors":"E. Yaacoub, Z. Dawy, A. Abu-Dayya","doi":"10.1109/ICTEL.2012.6221240","DOIUrl":null,"url":null,"abstract":"Real-time video streaming over LTE networks is investigated in the presence of mobile-to-mobile collaboration. Mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head multicast the content to other cluster members using a short-range wireless communication technology. The cluster heads receive the data on the long-range LTE links either via unicasting or multicasting. LTE scheduling is taken into account on the long range transmissions. The proposed approach is compared to the non-collaborative scenario. Results show that the proposed approach leads reduced energy consumption, enhanced video quality (reduction of loss distortion), and bandwidth savings.","PeriodicalId":413534,"journal":{"name":"2012 19th International Conference on Telecommunications (ICT)","volume":"233 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"On real-time video streaming over LTE networks with mobile-to-mobile cooperation\",\"authors\":\"E. Yaacoub, Z. Dawy, A. Abu-Dayya\",\"doi\":\"10.1109/ICTEL.2012.6221240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Real-time video streaming over LTE networks is investigated in the presence of mobile-to-mobile collaboration. Mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head multicast the content to other cluster members using a short-range wireless communication technology. The cluster heads receive the data on the long-range LTE links either via unicasting or multicasting. LTE scheduling is taken into account on the long range transmissions. The proposed approach is compared to the non-collaborative scenario. Results show that the proposed approach leads reduced energy consumption, enhanced video quality (reduction of loss distortion), and bandwidth savings.\",\"PeriodicalId\":413534,\"journal\":{\"name\":\"2012 19th International Conference on Telecommunications (ICT)\",\"volume\":\"233 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 19th International Conference on Telecommunications (ICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTEL.2012.6221240\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 19th International Conference on Telecommunications (ICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTEL.2012.6221240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On real-time video streaming over LTE networks with mobile-to-mobile cooperation
Real-time video streaming over LTE networks is investigated in the presence of mobile-to-mobile collaboration. Mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. In each cluster, collaboration is implemented by having a cluster head multicast the content to other cluster members using a short-range wireless communication technology. The cluster heads receive the data on the long-range LTE links either via unicasting or multicasting. LTE scheduling is taken into account on the long range transmissions. The proposed approach is compared to the non-collaborative scenario. Results show that the proposed approach leads reduced energy consumption, enhanced video quality (reduction of loss distortion), and bandwidth savings.