Farhan Pervez, M. Raheel, Jibran Gill, Kashif Iqbal
{"title":"Uplink Resource Allocation of Multiple DASH Streams for QoE-based Real and Non-real Time Viewing over LTE","authors":"Farhan Pervez, M. Raheel, Jibran Gill, Kashif Iqbal","doi":"10.1109/NGMAST.2016.29","DOIUrl":null,"url":null,"abstract":"The increase in data rates provided by cellular networks and the development of mobile devices capable of recording good quality videos has resulted in increased amount of user generated content. This content can be made available live as well as on-demand for the viewers. Nowadays, most of the video traffic is rate adaptive HTTP based knows as DASH. The paper focuses on utilizing the features of SVC in order to develop an optimized resource allocation scheme for transmitting multiple DASH video streams over LTE network in uplink direction. The physical resources are allocated to the video producers such that the QoE for both real and non-real time viewers is maximized. Simulation results are presented to demonstrate the significance of the proposed optimization on the overall user experience.","PeriodicalId":340716,"journal":{"name":"2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NGMAST.2016.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The increase in data rates provided by cellular networks and the development of mobile devices capable of recording good quality videos has resulted in increased amount of user generated content. This content can be made available live as well as on-demand for the viewers. Nowadays, most of the video traffic is rate adaptive HTTP based knows as DASH. The paper focuses on utilizing the features of SVC in order to develop an optimized resource allocation scheme for transmitting multiple DASH video streams over LTE network in uplink direction. The physical resources are allocated to the video producers such that the QoE for both real and non-real time viewers is maximized. Simulation results are presented to demonstrate the significance of the proposed optimization on the overall user experience.