计算机应用 ›› 2011, Vol. 31 ›› Issue (07): 1966-1970.DOI: 10.3724/SP.J.1087.2011.01966

• 网络与通信 • 上一篇    下一篇

异构网络中的网络选择问题

曾旭斌,原玲,孔博文   

  1. 广东工业大学 信息工程学院, 广州 510006
  • 收稿日期:2010-12-17 修回日期:2011-01-28 发布日期:2011-07-01 出版日期:2011-07-01
  • 通讯作者: 曾旭斌
  • 作者简介:曾旭斌(1986-),男,广东揭阳人,硕士研究生,主要研究方向:无线异构网络、移动通信;
    原玲(1964-),女,山东荣城人,副教授,主要研究方向:宽带移动通信;
    孔博文(1986-),男,广东梅州人,硕士研究生,主要研究方向:无线异构网络、移动通信。

Network selection for wireless heterogeneous networks

Xu-bin ZENG,Ling YUAN,Bo-wen KONG   

  1. College of Information Engineering, Guangdong University of Technology, Guangzhou Guangdong 510006, China
  • Received:2010-12-17 Revised:2011-01-28 Online:2011-07-01 Published:2011-07-01
  • Contact: Xu-bin ZENG

摘要: 在异构网络中,网络选择的结果应是由主观因素和客观因素,即用户喜好和网络客观属性,两者综合得出的。而在有限方案多目标决策的综合评价方法中,层次分析法具有主观性强的特点,理想值近似排序法的特点则真实、直观、可靠。针对这两种方法的各自特点,在网络选择中,对用户喜好方面采用层次分析法,对网络客观状况采用理想值近似排序法,并提出了一种用户喜好与网络状况协同决策的网络选择算法。仿真结果表明,在不考虑负载的情况下,提出的算法能有效地选择出适合于移动终端当前业务的网络。

关键词: 异构网络, 网络选择, 权重, 层次分析法, 理想值近似性排序法

Abstract: In heterogeneous networks, the result of network selection should come out according to subjective factors and objective factors, i.e. the users preferences and network objective attributes. But in limited scheme multi-objective decision-making of comprehensive evaluation method, Analytic Hierarchy Process (AHP) has the characteristics of strong subjectivity, the characteristics of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is true, intuitive, and reliable. Therefore, concerning the features of the two methods, in the network selection issue, the user preference aspects in the choice of AHP method, network status using TOPSIS method, a kind of user preferences and network status collaborative judgment network selection algorithm was puts forward. The simulation results show that, without considering load conditions, the proposed algorithm can effectively choose the suitable network for mobile terminal current business.

Key words: heterogeneous network, network selection, weight, Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

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