电子学报 ›› 2018, Vol. 46 ›› Issue (5): 1227-1233.DOI: 10.3969/j.issn.0372-2112.2018.05.031

• 科研通信 • 上一篇    下一篇

异构无线网络中新的成本感知网络切换方案

马彬, 汪栋, 谢显中   

  1. 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
  • 收稿日期:2017-01-20 修回日期:2017-06-21 出版日期:2018-05-25 发布日期:2018-05-25
  • 通讯作者: 汪栋
  • 作者简介:马彬 男,1978年出生,四川人.博士,重庆邮电大学教授,主要研究方向为认知无线电网络,异构无线网络,不确定智能算法等.
  • 基金资助:
    国家自然科学基金(No.61601070,No.61271259,No.61301123,No.61471076);重庆市基础与前沿研究计划(No.cstc2016jcyjA0455,No.cstc2015jcyjA40047);重庆邮电大学博士启动基金(No.A2014-10,No.A2015-16);重庆市移动互联网数据应用工程技术研究中心资助

A Novel Cost-Aware Network Handoff Scheme in Heterogeneous Wireless Network

MA Bin, WANG Dong, XIE Xian-zhong   

  1. 1. Institute of Computer Science and Technology, Chongqing University of Post and Telecommunication, Chongqing 400065, China;
    2. Chongqing Key Laboratory of Computer Network and Communication Technology, Chongqing University of Post and Telecommunication, Chongqing, 400065, China
  • Received:2017-01-20 Revised:2017-06-21 Online:2018-05-25 Published:2018-05-25

摘要: 针对异构无线网络中用户希望通过较低的花费获取最满意的网络服务的需求,本文提出了一种以用户为中心的成本感知网络切换方案.首先,根据用户能够获取到的网络传输速率建立用户服务满足度模型,并结合归一化的网络费用,将网络切换问题转化为一个多目标优化问题.考虑到网络阻塞是由于大量用户同时选择同一个网络导致的,将这种背景下的用户决策行为转化为EI Farol酒吧问题,通过求解该问题纳什均衡状态下的用户获取网络服务的概率来得到用户服务满足度的期望值.最后,通过考虑用户服务满足度回报率将所构建的多目标优化问题转化为一个最大化问题.仿真结果表明本文算法能够提高网络总吞吐量,降低用户切换阻塞率,使网络负载更加均衡.

关键词: 异构无线网络, 垂直切换, EI Farol, 成本感知

Abstract: In heterogeneous wireless network,most users hope to obtain the most satisfactory network services at a lower cost.This paper proposes a user-centered cost-aware network handoff scheme.Firstly,the model of user's service saturation is established according to the network transmission rate that can be obtained by the user.Secondly,combined with the normalized network cost,network handoff problem can be converted to a multi-objective optimization problem.Considering the network congestion is caused by a large number of users choose the same network at the same time,the user decision behavior in this context is transformed into EI Farol bar problem,and then we get the service saturation expectations of users from the network service probability by searching Nash equilibrium of the problem.Finally,the multi-objective optimization problem is transformed into a maximization problem by considering the reward rate of user's service saturation.Simulation results show that the proposed algorithm can improve the total throughput of the network,reduce the blocking rate of the user's handoff and make the network load more balanced.

Key words: heterogeneous wireless network, vertical handoff, EI farol, cost-aware

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