异构网络融合环境下基于加权二分图的网络选择算法

鲍楠; 夏玮玮; 鲍煦

doi:10.11959/j.issn.1000-0801.2015242

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异构网络融合环境下基于加权二分图的网络选择算法

专题：异构网络 | 更新时间：2024-06-05

- 异构网络融合环境下基于加权二分图的网络选择算法
- Network Selection Algorithm Based on Weighted Bipartite Graph in Heterogeneous Network Environment
- 电信科学 2015年31卷第9期页码：44-50
- 作者机构：
  
  1. 南京邮电大学物联网学院南京210003
  2. 东南大学移动通信国家重点实验室南京210096
  3. 江苏大学计算机科学与通信工程学院镇江212013
- 作者简介：
  
  [ "鲍楠，女，博士，南京邮电大学物联网学院讲师，主要研究方向为无线资源管理、无线通信网络技术。" ]
  [ "夏玮玮，女，博士，东南大学移动通信国家重点实验室副教授，主要研究方向为异构网络融合与短距离无线通信。" ]
  [ "鲍煦，男，博士，江苏大学计算机科学与通信工程学院副教授，主要研究方向为可见光通信技术、智能信号处理技术。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61201175);国家自然科学基金资助项目;The National Natural Science Foundation of China(61171081);江苏省基础研究计划（自然科学基金）资助项目;The Natural Science Foundation of Jiangsu Province(BK20150866);江苏省基础研究计划（自然科学基金）资助项目;The Natural Science Foundation of Jiangsu Province(BK20130530);江苏省普通高校自然科学研究资助项目;The Natural Science Foundation of the Jiangsu Higher Education Institutions(15KJB510026);南京邮电大学引进人才科研启动基金资助项目;NUPTSF(NY214185)
- DOI：10.11959/j.issn.1000-0801.2015242
  中图分类号：
- 网络出版日期：2015-09，
  
  纸质出版日期：2015-09-20
- 稿件说明：
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鲍楠, 夏玮玮, 鲍煦. 异构网络融合环境下基于加权二分图的网络选择算法[J]. 电信科学, 2015,31(9):44-50.

Nan Bao, Weiwei Xia, Xu Bao. Network Selection Algorithm Based on Weighted Bipartite Graph in Heterogeneous Network Environment[J]. Telecommunications science, 2015, 31(9): 44-50.
鲍楠, 夏玮玮, 鲍煦. 异构网络融合环境下基于加权二分图的网络选择算法[J]. 电信科学, 2015,31(9):44-50. DOI： 10.11959/j.issn.1000-0801.2015242.

Nan Bao, Weiwei Xia, Xu Bao. Network Selection Algorithm Based on Weighted Bipartite Graph in Heterogeneous Network Environment[J]. Telecommunications science, 2015, 31(9): 44-50. DOI： 10.11959/j.issn.1000-0801.2015242.

摘要

摘要：在异构网络融合场景中，为了合理利用异构网络资源，提出了一种基于加权二分图的网络选择算法。将网络选择过程映射为寻找最优加权二分图的过程，用户和网络双方的需求经数学建模后进行供需最优匹配，供需匹配有二次选择机会以平衡网络负载。与其他算法相比，提出的算法可以为不同QoS业务提供满足需求的匹配结果，并且能够动态调整网络负载，实现异构网络融合场景中用户需求和网络资源的合理匹配。

Abstract

In convergence environment of heterogeneous network

a network selection algorithm based on weighted bipartite graph was proposed for rational utilization of heterogeneous network wireless resource. The network selection process was mapping as looking for the optimal weighted bipartite graph. The requirements of users and networks were mathematically modeled for optimal matching of supply and demand. And there was a second chance of matching to balance the network load. Compared with other algorithms

the proposed algorithm can provide matching results that meet the requirements for different QoS. Meanwhile it can dynamically adjust networks' loads

and achieve reasonable matching of user demands and network resources in convergence environment of heterogeneous network.

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references

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