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

doi:10.3969/j.issn.0372-2112.2018.05.031

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

更新时间：2025-07-08

- A Novel Cost-Aware Network Handoff Scheme in Heterogeneous Wireless Network
- Acta Electronica Sinica Vol. 46, Issue 5, Pages: 1227-1233(2018)
- 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
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61601070, No.61271259, No.61301123, No.61471076);Chongqing Research Program of Basic and Frontier Technology (No.cstc2016jcyjA0455, No.cstc2015jcyjA40047);Doctoral Research Foundation of Chongqing University of Posts and Telecommunications (No.A2014-10, No.A2015-16);Supported by Chongqing Engineering Research Center of Mobile Internet Data Application
- DOI：10.3969/j.issn.0372-2112.2018.05.031
  CLC： TN915
- Published Online：25 May 2018，
  
  Published：2018
- 稿件说明：
移动端阅览
A Novel Cost-Aware Network Handoff Scheme in Heterogeneous Wireless Network[J]. Acta Electronica Sinica, 2018, 46(5): 1227-1233.
DOI：

A Novel Cost-Aware Network Handoff Scheme in Heterogeneous Wireless Network[J]. Acta Electronica Sinica, 2018, 46(5): 1227-1233. DOI： 10.3969/j.issn.0372-2112.2018.05.031.

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.

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.

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