{"title":"Long - term radio resource reservation in IEEE 802.16 rtPS for video traffic","authors":"M. Abdennebi, Y. Ghamri-Doudane","doi":"10.1109/GIIS.2011.6026711","DOIUrl":null,"url":null,"abstract":"Radio resources management and scheduling are very important to provide QoS in WiMAX networks. Multimedia traffics are handled by the rtPS service where the BS can guarantee real time polling for resources allocation and re-allocation. However, even if the polling and the bandwidth requests are guaranteed, a bandwidth allocation in the next WiMAX frames could not be provided if no enough radio resources are available. It then results in important delay and/or losses. In this paper we aim to provide long-term bandwidth allocation for high priorities packets. This long-term allocation will be based on traffic prediction models. In our proposal, those requests will result in a kind of bandwidth provisioning in future WiMAX frames. We apply our proposal to H264 video traffic and simulation shows the benefits of our proposal in term of QoS.","PeriodicalId":145056,"journal":{"name":"Global Information Infrastructure Symposium - GIIS 2011","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Information Infrastructure Symposium - GIIS 2011","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GIIS.2011.6026711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Radio resources management and scheduling are very important to provide QoS in WiMAX networks. Multimedia traffics are handled by the rtPS service where the BS can guarantee real time polling for resources allocation and re-allocation. However, even if the polling and the bandwidth requests are guaranteed, a bandwidth allocation in the next WiMAX frames could not be provided if no enough radio resources are available. It then results in important delay and/or losses. In this paper we aim to provide long-term bandwidth allocation for high priorities packets. This long-term allocation will be based on traffic prediction models. In our proposal, those requests will result in a kind of bandwidth provisioning in future WiMAX frames. We apply our proposal to H264 video traffic and simulation shows the benefits of our proposal in term of QoS.