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Exploiting mobility patterns for inter-technology handover in mobile environments

机译:利用移动性模式在移动环境中进行技术间切换

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摘要

Mobile terminals with multi-radio devices have become increasingly prevalent. This makes it possible for Internet applications to be supported by heterogeneous wireless networks while the terminal is on the move. As the user is constantly moving, it is highly desirable that the terminal connects to the best network and retains high performance of network connections. Handovers can be made within the same type of network (horizontal handover) or different types of networks (vertical handover). This paper focuses on link-layer inter-technology vertical handovers. Vertical handovers present several great challenges, such as user mobility randomness, high handover overhead and optimality requirement. Existing work often focuses only on the current network condition when making handover decisions, ignoring future performance of the terminal. As a result, a handover decision good for the current moment may soon become poor when the user moves to another place. This paper is motivated by the observation that users in a given mobile environment, such as university or enterprise campus, exhibit clear mobility patterns. We propose an approach for making handover decisions, which explicitly exploits user mobility patterns. This approach can produce high-performance handover decisions in the long run. Employing a comprehensive framework for preference customization, the approach supports user customization caring for different user preferences. Extensive real trace driven simulations and comparative study show our algorithm is better than the conventional vertical handover algorithms.
机译:具有多无线电设备的移动终端已经变得越来越普遍。这使得在终端移动时,异构无线网络可以支持Internet应用程序。随着用户的不断移动,非常需要终端连接到最佳网络并保持高性能的网络连接。可以在同一类型的网络(水平切换)或不同类型的网络(垂直切换)中进行切换。本文重点介绍链路层技术间的垂直切换。垂直切换提出了几个巨大的挑战,例如用户移动性随机性,高切换开销和最优性要求。现有工作通常在做出切换决定时仅关注当前网络状况,而忽略了终端的未来性能。结果,当用户移动到另一个地方时,当前时刻良好的切换决定可能很快变差。本文基于以下观察的动机:在给定的移动环境(例如大学或企业园区)中,用户表现出清晰的移动性模式。我们提出了一种用于做出切换决策的方法,该方法明确利用了用户移动性模式。从长远来看,这种方法可以产生高性能的切换决策。该方法采用了用于首选项自定义的综合框架,可支持关心不同用户首选项的用户自定义。大量的实际跟踪驱动的仿真和比较研究表明,我们的算法优于传统的垂直切换算法。

著录项

  • 来源
    《Computer Communications》 |2013年第2期|203-210|共8页
  • 作者

    Yanmin Zhu; Lei Ni; Bo Li;

  • 作者单位

    Shanghai Key Lab of Scalable Computing and Systems, Shanghai, China,Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Shanghai Key Lab of Scalable Computing and Systems, Shanghai, China,Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Hong Kong University of Science and Technology, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mobility pattern; handover; markov decision process; entropy; implementation;

    机译:流动性模式交出;马可夫决策过程;熵;实作;

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