计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

可见光通信网络中遮挡情况下的垂直切换决策算法

郑浩天1,季新生1,2,黄开枝1   

  1. (1.国家数字交换系统工程技术研究中心,郑州 450002; 2.东南大学移动通信国家重点实验室,南京 210096)
  • 收稿日期:2015-05-12 出版日期:2016-05-15 发布日期:2016-05-13
  • 作者简介: 郑浩天(1990-),男,硕士研究生,主研方向为可见光通信;季新生、黄开枝,教授、博士生导师。
  • 基金项目:
    国家“863”计划基金资助项目(2013AA013603);东南大学国家重点实验室基金资助项目(2013D09)。

Vertical Handover Decision-making Algorithm for Blockage Case in Visible Light Communication Network

ZHENG Haotian 1,JI Xinsheng 1,2,HUANG Kaizhi 1   

  1. (1.National Digital Switching System Engineering and Technological R & D Center,Zhengzhou 450002,China; 2.State Key Laboratory of Mobile Communication,Southeast University,Nanjing 210096,China)
  • Received:2015-05-12 Online:2016-05-15 Published:2016-05-13

摘要: 在可见光通信网络中,现有遮挡情况下的立即切换和继续等待2种切换决策都过于单一,无法保证遮挡造成的信息传输延迟始终较小。为此,提出一种基于径向基函数(RBF)模糊神经网络的垂直切换决策算法。对遮挡情况下的切换决策影响参数进行研究,分析不同参数的获取方法。选择最重要的3种参数输入RBF模糊神经网络进行模糊推理,根据输出的精确值进行切换决策。仿真结果表明,该算法能够根据不同情况合理判决立即切换或继续等待,保证遮挡造成的信息传输延迟始终较小,且遮挡频繁时,切换次数比立即切换减少约50%,有效避免了乒乓切换。

关键词: 可见光通信, 遮挡, 垂直切换, 传输延迟, 径向基函数, 模糊神经网络

Abstract: For the Visible Light Communication(VLC) network,existing handover decision-making algorithms for blockage case are too simple to ensure small transfer delay caused by blockage at all times.To solve the problem,this paper proposes a vertical handover decision-making algorithm based on Radial Basis Function(RBF) fuzzy neural network.The impact parameters of handover decision-making for blockage case are studied.The acquisition method of different parameters are analyzed.The three most important parameters are put into RBF fuzzy neural network for fuzzy reasoning and handover decision is made according to the exact output value.Simulation results show that the algorithm can make reasonable handover decisions,ensuring small transfer delay under different conditions and reducing about 50% handover times compared with immediate handover in the case of frequent blockage.

Key words: Visible Light Communication(VLC), blockage, vertical handover, transfer delay, Radial Basis Function(RBF), fuzzy neural network

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