多维吸引子构成模型的视频业务QoE优化  

QoE optimization of video service over multi-dimensional attractor model

作　　者：朱庆华[1] 陈禹[1,2] 常莹[1] 陆镜宇 ZHU Qing hua1 , CHEN Yu1,2, CHANG Ying1 , LU Jing-yu2(1. School of Telecommunication Engineering, Beijing Polytechnic, Beijing 100176, China; 2. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, Chin)

机构地区：[1]北京电子科技职业学院电信工程学院,北京100176 [2]北京邮电大学信息与通信工程学院,北京100876

出　　处：《计算机工程与设计》2018年第6期1669-1674,共6页Computer Engineering and Design

基　　金：北京市科委科研基金项目(d151100000115002)

摘　　要：为优化未来多层无线网络覆盖中视频业务的体验质量(quality of experience,QoE),在基于生物信息学的细胞吸引子选择模型上研究多维吸引子选择算法,对每个接入网视频业务的吸引力进行建模,设置参数控制吸引子吸引力度和算法收敛速度,当QoE低于用户容忍阈值时,该模型会根据当前QoE值重新计算各个接入网应分得的视频流量,使当前视频QoE值重新达到用户要求。仿真结果表明,通过持续的反馈-调整闭环机制,使该方法在网络变差时优化视频业务QoE。To optimize QoE（quality of experience）for video services in future multi-tier wireless networks,the selection algorithm of the multidimensional attractor was researched based on the cell attractor selection algorithm of bioinformatics and the attractiveness of each access network video service was modelled,the parameters to control attractor attraction and algorithm convergence speed were settled.When the QoE was below the user tolerance threshold,the video traffic that should be shared by each access network was recalculated according to the current QoE value,the current video QoE value was enabled to meet user requirements again.Simulation results show that through the continuous feedback adjustment of the closed-loop mechanism,video service QoE is optimized when network is worse.

关 键 词：吸引子 视频业务 QoE体验质量 多路传输 流量分配 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]