Research on Robust Vertical Handoff Algorithm Base on Interval Mark Decision

MA Bin; WANG Si-lin; XIE Xian-zhong

doi:10.3969/j.issn.0372-2112.2020.05.008

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Research on Robust Vertical Handoff Algorithm Base on Interval Mark Decision

更新时间：2025-07-16

- Research on Robust Vertical Handoff Algorithm Base on Interval Mark Decision
- Acta Electronica Sinica Vol. 48, Issue 5, Pages: 891-898(2020)
- 作者机构：
  
  1. 重庆邮电大学计算机科学与技术学院,重庆,400065
  2. 重庆邮电大学重庆市计算机网络与通信技术重点实验室,重庆,400065
  3. 重庆邮电大学计算机科学与技术学院,重庆,400065
  4. 重庆邮电大学重庆市计算机网络与通信技术重点实验室,重庆,400065
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2020.05.008
  CLC： TN915
- Published Online：25 May 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
MA Bin, WANG Si-lin, XIE Xian-zhong. Research on Robust Vertical Handoff Algorithm Base on Interval Mark Decision[J]. Acta Electronica Sinica, 2020, 48(5): 891-898.
DOI：

MA Bin, WANG Si-lin, XIE Xian-zhong. Research on Robust Vertical Handoff Algorithm Base on Interval Mark Decision[J]. Acta Electronica Sinica, 2020, 48(5): 891-898. DOI： 10.3969/j.issn.0372-2112.2020.05.008.

摘要

在异构5G网络中，针对切换算法稳健性差引起的切换准确率低的问题，提出一种基于区间标记判决的稳健垂直切换算法.首先，引入中位值平均滤波法，获取更准确的网络参数.其次，基于参数波动特征分析，提出区间标记判决算法，保证候选网络筛选通过率和准确率的同时，提高区间标记判决算法的稳健性.再次，根据移动终端传输层需求，结合终端运动趋势，分别使用不同权值的效用函数获得最佳目标网络.最后，仿真结果表明，该算法能够有效提升切换触发和网络筛选的准确率，降低切换失败率和乒乓效应，提高系统吞吐量，并能够根据移动终端的需求选择最佳目标网络.

Abstract

In heterogeneous 5th generation network

a robust vertical handoff algorithm based on interval mark decision is proposed to solve the problem of low handoff accuracy

which is caused by poor robustness of current vertical handoff algorithms. Firstly

the median average filter method is employed to obtain more accurate network attribute values. Secondly

based on parameter fluctuation characteristic analysis

an interval mark decision algorithm is proposed to ensure the pass rate and accuracy of candidate network screening

moreover

the robustness of the handoff process is also effectively improved. Thirdly

according to the transmission layer requirements and motion trend of the mobile terminals

the optimum target network is obtained by using utility functions with different weights. Finally

the simulations show that the proposed algorithm can effectively improve the accuracy of handoff triggering and network screening while reducing the failed handoff and the ping-pong effect. Not only that

the total network throughput is also improved. Meanwhile

it chooses the best target network according to the requirements of mobile terminals.

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