基于模糊层次—熵权法的自适应垂直切换算法

王珑璋; 李翠然

doi:10.13756/j.gtxyj.2021.03.012

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基于模糊层次—熵权法的自适应垂直切换算法

无线通信技术

- 基于模糊层次—熵权法的自适应垂直切换算法
- Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method
- 光通信研究 2021年第3期页码：52-58
- 作者机构：
  
  兰州交通大学　电子与信息工程学院，兰州　730070
- 作者简介：
  
  王珑璋（1993-），男，甘肃张掖人。硕士，主要研究方向为异构无线网络和通信。
  李翠然，教授。E-mail：1174719508@qq.com
- 基金信息：
  
  国家自然科学基金资助项目(61661025);甘肃省高等学校创新能力提升资助项目(2019B-052)
- DOI：10.13756/j.gtxyj.2021.03.012
  中图分类号： TN925
- 纸质出版日期：2021-06-10，
  
  收稿日期：2020-09-30，
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王珑璋, 李翠然. 基于模糊层次—熵权法的自适应垂直切换算法[J]. 光通信研究, 2021,(3):52-58.

WANG Long-zhang, LI Cui-ran. Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method[J]. Study on Optical Communications, 2021,(3):52-58.
王珑璋, 李翠然. 基于模糊层次—熵权法的自适应垂直切换算法[J]. 光通信研究, 2021,(3):52-58. DOI： 10.13756/j.gtxyj.2021.03.012.

WANG Long-zhang, LI Cui-ran. Adaptive Vertical Handover Algorithm based on Fuzzy Hierarchy-entropy Weight Method[J]. Study on Optical Communications, 2021,(3):52-58. DOI： 10.13756/j.gtxyj.2021.03.012.

摘要

针对当前异构网络中，采用多决策属性的垂直切换算法难以动态调整网络属性的权重值，从而无法满足用户服务质量（QoS）的需求问题，文章以接入最优的异构无线网络和保障用户QoS为目标，提出基于模糊层次—熵权法的自适应垂直切换算法。首先，根据用户对网络属性的不同要求，采用主观模糊层次赋权与客观熵权法结合的方式构建网络属性优化模型，之后根据用户体验采用自适应机制来动态地调整各网络属性权重值，最后利用成本函数对异构网络的状态进行切换预测，从而选择接入最优的无线网络。仿真实验表明，所提算法能有效降低网络切换率，能更好地保证异构无线网络之间的负载均衡，增加了移动终端的续航时间。

Abstract

In current heterogeneous network

the multi-decision attribute vertical handover algorithm is difficult to dynamically adjust the weight value of the network attributes

and thus cannot meet the user’s Quality of Service (QoS) requirements. To solve this issue

this paper aims at accessing the optimal heterogeneous wireless network and guaranteeing the user’s QoS

and proposes an adaptive vertical handover algorithm based on the fuzzy hierarchy-entropy weight method. First

according to user experience

a model of network attribute optimization is constructed by combining subjective fuzzy hierarchical weighting and objective entropy weights. Then

an adaptive mechanism is used to dynamically adjust the weight value of each network attribute according to user experience. Finally

the cost function is used to predict the state of the heterogeneous network to select the optimal wireless network. Simulation experiments verify that the proposed algorithm can effectively reduce the network switching rate

better ensuring the load balancing between heterogeneous wireless networks

and increase the endurance of mobile terminals.

关键词

异构网络垂直切换用户体验自适应权重

Keywords

heterogeneous networkvertical handoveruser experienceadaptive weights

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