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一种异构网络多媒体业务QoS类弹性映射方法 被引量：6

An Elastic QoS Class Mapping Method for Multimedia Traffic in Heterogeneous Wireless Networks
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摘要 多媒体业务在异构网络传输过程中,由于现有的QoS(Quality of Service)类映射方法存在灵活性不足的问题,从而降低了系统端到端效能。针对这个问题,该文在深入分析当前的QoS类映射方法基础上,结合用户QoE(Quality of Experience)特点,借助于网络微积分理论,构建了QoS类映射的数学分析模型,并进行了理论分析。基于该数学分析模型,该文从用户QoE角度提出了具有弹性的QoS类映射方法(Elastic QoS Class Mapping Method,EQCMM),该方法根据当前网络资源的使用情况,通过灵活地调整QoS类映射,充分利用网络现有资源,提高了端到端带宽资源的利用率,改善了系统端到端的效能。最后,通过仿真验证了该方法的有效性。 To increase the end-to-end system efficiency with a flexible QoS （Quality of Service） class mapping scheme for transporting multimedia traffic over heterogeneous networks, by analyzing current QoS class mapping schemes which lack flexibility without considering user＇s QoE （Quality of Experience）, an analytical model is developed for end-to-end QoS provisioning based on network calculus theory. Based on this model, the paper derives an Elastic QoS Class Mapping Method （EQCMM） which considers user＇s QoE. With EQCMM, the result of QoS class mapping can be adjusted elastically according to available network resources, in order to achieve higher end-to-end system efficiency. Finally, simulation results are given to demonstrate the effectiveness of the proposed method.
作者 王再见 董育宁 张晖 赵海涛
机构地区 南京邮电大学通信与信息工程学院 安徽师范大学物理与电子信息学院
出处 《电子与信息学报》 EI CSCD 北大核心 2013年第3期709-714,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60972038 61271233 61101105 61001077) 教育部高等学校博士学科点专项科研基金(20103223110001 20113223120001) 2011年度江苏省研究生培养创新工程基金(CXZZ11_0396)资助课题
关键词 异构无线网络 QoS类 QOS映射 网络微积分 Heterogeneous wireless networks QoS class QoS mapping Network calculus
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献10

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同被引文献26

  • 1Tarnoi S,Kumwilaisak W,Saengudomlert P,et al.QoS-aware routing for heterogeneous layered unicast transmissions in wireless mesh networks with cooperative network coding[J].EURASIP Journal on Wireless Communications and Networking,2014,2014(1):1-18.
  • 2Hu R Q,Qian Yi.An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems[J].IEEE Communications Magazine,2014,52(5):94-101.
  • 3Ertürk M C,Güvenc I,Mukherjee S,et al.Fair and QoS-oriented resource management in heterogeneous networks[J].EURASIP Journal on Wireless Communications and Networking,2013,2013(1):1-14.
  • 4Ahuja K,Singh B,Khanna R.Network selection based on weight estimation of QoS parameters in heterogeneous wireless multimedia networks[J].Wireless Personal Communications,2014,3(2):1-14.
  • 5Vijayalakshmy G,Lakshmy N,Sivaradje G.QoS improvement for the next generation heterogeneous network[J].International Journal of Computer Applications,2014,92(15):32-44.
  • 6Mohammadizadeh N,Zhuang Weihua.Cooperation of heterogeneous wireless networks in end-to-end congestion control for QoS provisioning[C] //Proc of IEEE International Conference on Communications.[S.l.] :IEEE Press,2013:6454-6458.
  • 7Sehgal A,Agrawal R.Integrated network selection scheme for remote healthcare systems[C] //Proc of International Conference on Issues and Challenges in Intelligent Computing Techniques.[S.l.] :IEEE Press,2014:790-796.
  • 8Mori S,Ishii K,Ogose S.Cross-layer-design QoS policy management framework for wireless heterogeneous network[J].Journal of Signal Processing,2013,17(4):123-126.
  • 9Giacomini D,Agarwal A.Optimizing end user QoS in heterogeneous network environments using reputation and prediction[J].EURASIP Journal on Wireless Communications and Networking,2013,2013(1):1-13.
  • 10Singh A,Konsgen A,Singh P,et al.Improved heterogeneous network utilization by combining multipath transport with QoS-based flow management and routing[C] //Proc of Wireless Communications and Networking Conference.[S.l.] :IEEE Press,2013:1062-1067.

引证文献6

二级引证文献3

电子与信息学报
2013年 第3期

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