移动视频业务的自适应节能和qos感知优化方法

2016 16th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2016-09-01 DOI:10.1109/ISCIT.2016.7751657

Shiyu Zhou, Meng Ran, Zhaoming Lu

{"title":"移动视频业务的自适应节能和qos感知优化方法","authors":"Shiyu Zhou, Meng Ran, Zhaoming Lu","doi":"10.1109/ISCIT.2016.7751657","DOIUrl":null,"url":null,"abstract":"Energy-efficient and quality of experience (QoE) are extremely important for video services. However, most studies just consider one of them. This paper proposes an adaptive energy-efficient and user's quality of experience optimization method to maximize the overall satisfaction of video services. Video content is encoded by the scalable video coding (SVC), which can provide mobile video services at different quality levels with associated energy consumption. Based on SVC, the power consumption model and video quality model of mobile video services are established. Then a utility function is proposed to measure overall satisfaction, which is defined to weight the energy consumption and the video quality. QoE and energy consumption are jointly optimized by dynamically triggering the layer switching during the video reproduction. The particle swarm optimization (PSO) algorithm is used to obtain the optimal solution. Simulation results show proposed method can achieve significant QoE levels and higher energy efficiency for mobile users.","PeriodicalId":240381,"journal":{"name":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Adaptive energy-efficient and QoE-aware optimization method for mobile video services\",\"authors\":\"Shiyu Zhou, Meng Ran, Zhaoming Lu\",\"doi\":\"10.1109/ISCIT.2016.7751657\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Energy-efficient and quality of experience (QoE) are extremely important for video services. However, most studies just consider one of them. This paper proposes an adaptive energy-efficient and user's quality of experience optimization method to maximize the overall satisfaction of video services. Video content is encoded by the scalable video coding (SVC), which can provide mobile video services at different quality levels with associated energy consumption. Based on SVC, the power consumption model and video quality model of mobile video services are established. Then a utility function is proposed to measure overall satisfaction, which is defined to weight the energy consumption and the video quality. QoE and energy consumption are jointly optimized by dynamically triggering the layer switching during the video reproduction. The particle swarm optimization (PSO) algorithm is used to obtain the optimal solution. Simulation results show proposed method can achieve significant QoE levels and higher energy efficiency for mobile users.\",\"PeriodicalId\":240381,\"journal\":{\"name\":\"2016 16th International Symposium on Communications and Information Technologies (ISCIT)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 16th International Symposium on Communications and Information Technologies (ISCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCIT.2016.7751657\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 16th International Symposium on Communications and Information Technologies (ISCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2016.7751657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

对于视频业务来说，节能和体验质量(QoE)是非常重要的。然而，大多数研究只考虑其中之一。本文提出了一种自适应的节能和用户体验质量优化方法，以最大限度地提高视频服务的整体满意度。视频内容采用可扩展视频编码(scalable Video coding, SVC)进行编码，SVC可以提供不同质量水平的移动视频服务，并降低相应的能耗。基于SVC，建立了移动视频业务的功耗模型和视频质量模型。然后提出了一个衡量整体满意度的效用函数，定义了它对能耗和视频质量的权重。通过在视频再现过程中动态触发层切换，实现QoE和能耗的联合优化。采用粒子群优化(PSO)算法求解。仿真结果表明，该方法能够显著提高移动用户的QoE水平和能源效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Adaptive energy-efficient and QoE-aware optimization method for mobile video services

Energy-efficient and quality of experience (QoE) are extremely important for video services. However, most studies just consider one of them. This paper proposes an adaptive energy-efficient and user's quality of experience optimization method to maximize the overall satisfaction of video services. Video content is encoded by the scalable video coding (SVC), which can provide mobile video services at different quality levels with associated energy consumption. Based on SVC, the power consumption model and video quality model of mobile video services are established. Then a utility function is proposed to measure overall satisfaction, which is defined to weight the energy consumption and the video quality. QoE and energy consumption are jointly optimized by dynamically triggering the layer switching during the video reproduction. The particle swarm optimization (PSO) algorithm is used to obtain the optimal solution. Simulation results show proposed method can achieve significant QoE levels and higher energy efficiency for mobile users.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 16th International Symposium on Communications and Information Technologies (ISCIT)

自引率

0.00%

发文量