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基于终端移动状态的LGD触发算法
引用本文:张汝云,王玉红,黄开枝,季新生.基于终端移动状态的LGD触发算法[J].计算机工程,2010,36(19):117-119.
作者姓名:张汝云  王玉红  黄开枝  季新生
作者单位:国家数字交换系统工程技术研究中心,郑州,450002
基金项目:国家"863"计划基金资助项目 
摘    要:针对垂直切换中LMS预测LGD触发机制没有考虑终端移动状态的问题,提出基于终端移动状态的LGD触发算法,由终端移动模型推导出移动状态(速度和方向)与信号强度的关系,并将信号强度推导值与抽样值加权求和后采用LMS算法预测信号强度的变化趋势。仿真表明,改进后的LMS算法预测误差小,可以降低丢包率和空闲时间。

关 键 词:LGD触发  切换代价  终端移动模型  LMS预测机制

Terminal Moving State-based Link-Going-Down Trigger Algorithm
ZHANG Ru-yun,WANG Yu-hong,HUANG Kai-zhi,JI Xin-sheng.Terminal Moving State-based Link-Going-Down Trigger Algorithm[J].Computer Engineering,2010,36(19):117-119.
Authors:ZHANG Ru-yun  WANG Yu-hong  HUANG Kai-zhi  JI Xin-sheng
Affiliation:(National Digital Switching System Engineering Technological Research Center, Zhengzhou 450002, China)
Abstract:Timely firing of Link-Going-Down(LGD) trigger is critical to handover performance and is significant in determining whether the handover completes successfully. This paper proposes the terminal moving state-based LGD trigger algorithm. It calculates the received signal power from the terminal moving model, and puts it as part of the predictive process. Simulation results show that the proposed algorithm can significantly decrease packet lost and the time between handover finishing and link down.
Keywords:Link-Going-Down(LGD) trigger  handover cost  terminal moving model  Least Mean Square(LMS) predictive scheme Link-Going-Down(LGD) trigger  handover cost  terminal moving model  Least Mean Square(LMS) predictive scheme
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