电信科学 ›› 2017, Vol. 33 ›› Issue (4): 78-86.doi: 10.11959/j.issn.1000-0801.2017092

• 研究与开发 • 上一篇    下一篇

基于协同学的异构无线网络选择算法

骆冉1,2,赵夙1,2,朱琦1,3   

  1. 1 南京邮电大学通信与信息工程学院,江苏 南京 210003
    2 东南大学移动通信国家重点实验室,江苏 南京 210003
    3 南京邮电大学江苏省无线通信重点实验室,江苏 南京 210003
  • 修回日期:2017-03-29 出版日期:2017-04-01 发布日期:2017-04-26
  • 作者简介:骆冉(1992-),男,南京邮电大学通信与信息工程学院硕士生,主要研究方向为异构无线网络选择技术。|赵夙(1964-),女,南京邮电大学通信与信息工程学院书记、副教授,主要研究方向为移动通信与无线技术。|朱琦(1965-),女,南京邮电大学通信与信息工程学院教授,主要研究方向为移动通信与无线技术。
  • 基金资助:
    国家自然科学基金资助项目(61571234);国家自然科学基金资助项目(61631020);东南大学移动通信国家重点实验室开放研究基金资助课题(2015D10)

Network selection algorithm based on synergetic for heterogeneous wireless network

Ran LUO1,2,Su ZHAO1,2,Qi ZHU1,3   

  1. 1 College of Telecommunications&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    2 National Mobile Communications Research Laboratory,Southeast University,Nanjing 210003,China
    3 Jiangsu Key Lab of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Revised:2017-03-29 Online:2017-04-01 Published:2017-04-26
  • Supported by:
    The National Natural Science Foundation of China(61571234);The National Natural Science Foundation of China(61631020);Open Research Fund of National Mobile Communications Research Laboratory, Southeast University(2015D10)

摘要:

终端接入的网络需要满足各类业务需求,对此提出了一种基于协同学的异构无线网络选择算法。该算法将终端网络选择看作一个系统化的问题,可选网络是一个复合系统,终端上运行的每一种业务都是一个子系统,依据熵的概念得到复合系统的熵值,熵值的大小反映了子系统之间的协同度,进而体现了网络的整体性能。仿真结果表明,在终端多业务的情况下,基于所提算法选择的网络业务QoS满意率达到了95%,比基于TOPSIS算法选择的网络业务QoS满意率提升了近4倍,能够很好地解决多业务终端网络选择问题。

关键词: 多业务终端, 协同学, QoS满意率, 网络选择

Abstract:

A network selection algorithm based on synergetic for heterogeneous wireless network was proposed. The algorithm considered the network selection as a systematic problem. The optional network was a composite system and each kind of service running on the terminal was a subsystem. The entropy of the composite system was obtained according to the concept of entropy and it can reflected the degree of coordination among the subsystems, which in turn reflected the overall performance of the network. The simulation results show that the QoS satisfaction rate of services based on the proposed algorithm is 95%, while the QoS satisfaction rate of services based on the TOPSIS algorithm is only 25%, and the performance of the former is improved by nearly four times, indicating that the problem of multi-service terminal network selection can be solved by the proposed algorithm.

Key words: multi-service terminal, synergetic, QoS satisfaction rate, network selection

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