{"title":"Adaptive Modulation and Power Control for Energy Efficient Video Transmission over Fading Channels","authors":"Dengyu Qiao, Ye Li, Yuwei Zhang","doi":"10.1109/CISP.2009.5300983","DOIUrl":null,"url":null,"abstract":"With the explosive development of next generation wide-band wireless communication technique, the bandwidth is no longer the bottleneck of the wireless video transmission. Energy consumption is the biggest concern now.In this paper, an energy efficient video transmission scheme with the combination of adaptive modulation and power control is propsosed for the fading channel. In this scheme, based on fading channel prediction, we adaptively select the modulation level for every video frame, and the power level to compensate the effect of channel fading on every packet with the consideration of energy consumption and video QoS (Quality of Service). Finally, simulation results demonstrate the proposed scheme has good performance on energy saving.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 2nd International Congress on Image and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISP.2009.5300983","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
With the explosive development of next generation wide-band wireless communication technique, the bandwidth is no longer the bottleneck of the wireless video transmission. Energy consumption is the biggest concern now.In this paper, an energy efficient video transmission scheme with the combination of adaptive modulation and power control is propsosed for the fading channel. In this scheme, based on fading channel prediction, we adaptively select the modulation level for every video frame, and the power level to compensate the effect of channel fading on every packet with the consideration of energy consumption and video QoS (Quality of Service). Finally, simulation results demonstrate the proposed scheme has good performance on energy saving.