{"title":"An efficient resource sharing and multicast scheduling for video over wireless networks","authors":"P. Kalaiselvi, N. Mahendran","doi":"10.1109/ICE-CCN.2013.6528527","DOIUrl":null,"url":null,"abstract":"Multicasting video over wireless networks is a best effort service. To multicast a video, Scalable Video Coding with spatial, temporal and quality scalabilities is adopted. Scalable Video multicast system consists of channel probing stage and transmission stage. The optimal resource allocation problem is formulated by maximizing the video quality of the clients subject to transmission energy and channel access constraints. This problem is a joint optimization of the selection of modulation and coding scheme (MCS), and the transmission power allocation. The proposed scheme is of linear complexity and leads to the maximized video quality for the admitted clients. It also satisfies the energy budget and access time constraints.","PeriodicalId":286830,"journal":{"name":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICE-CCN.2013.6528527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Multicasting video over wireless networks is a best effort service. To multicast a video, Scalable Video Coding with spatial, temporal and quality scalabilities is adopted. Scalable Video multicast system consists of channel probing stage and transmission stage. The optimal resource allocation problem is formulated by maximizing the video quality of the clients subject to transmission energy and channel access constraints. This problem is a joint optimization of the selection of modulation and coding scheme (MCS), and the transmission power allocation. The proposed scheme is of linear complexity and leads to the maximized video quality for the admitted clients. It also satisfies the energy budget and access time constraints.