Vertical handoff decision and network merit for integrated wireless and mobile networks

S. Kunarak, R. Suleesathira
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引用次数: 7

Abstract

Next generation wireless networks must be able to coordinate services between heterogeneous networks using a mobile terminal with multiple access interfaces. One of the challenges for continuous seamless mobility is vertical handoff which is the decision for a mobile node to switch for one network to another different type of networks. Moreover, how to select a desired target network is an important issue to balance against the network condition and user preferences. In this paper, the policies of multiple metrics to trigger a handoff while a mobile node is located in UMTS and WLAN/WiMAX are designed. The received signal strength (RSS) of neighbor networks predicted by the back propagation neural network is beneficial to perform handoff early. We propose a dwell time calculation depending to the user speed and moving pattern. If the RSS conditions are consistently true during dwell time, then unnecessary handoffs are avoidable. To select an optimal target network, policies in the merit function is presented. The weights of each handoff metric are dynamic to several networks. The results indicate that the proposed policy-enabled vertical handoff decision algorithm and network selection outperforms the other two approaches in reducing the number of vertical handoffs, Grade of Service (GoS) while increasing the average utilization per call of WLAN/WiMAX networks.
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无线和移动综合网络的垂直切换决策和网络性能
下一代无线网络必须能够使用具有多个访问接口的移动终端在异构网络之间协调业务。持续无缝移动的挑战之一是垂直切换,即移动节点从一个网络切换到另一个不同类型的网络的决定。此外,如何选择理想的目标网络是平衡网络条件和用户偏好的重要问题。本文设计了移动节点位于UMTS和WLAN/WiMAX时触发切换的多指标策略。反向传播神经网络对相邻网络的接收信号强度(RSS)进行预测,有利于提前进行切换。我们提出了一个停留时间计算取决于用户的速度和移动模式。如果在驻留时间内RSS条件始终为真,则可以避免不必要的切换。为了选择一个最优的目标网络,在优点函数中提出了策略。每个切换度量的权重对于多个网络是动态的。结果表明,本文提出的基于策略的垂直切换决策算法和网络选择在减少垂直切换次数、服务等级(go)和提高WLAN/WiMAX网络每次呼叫的平均利用率方面优于其他两种方法。
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