未来收敛网络中ISHO的最优系统选择方法

Hung Ngoc Le, Q. X. Nguyễn, S. Choi, Yeonseung Shin
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摘要

泛在服务的愿景要求未来融合网络(FCN)的发展增加,以支持移动用户在保持QoS的同时在异构网络之间无缝迁移。FCN通过执行系统间切换(intersystem switching, ISHO)功能,允许移动用户随时随地访问业务,使用各种设备,在不同的无线电接口之间移动。ISHO可以在异构覆盖网络之间重定向应用程序通信流,同时保持应用程序的QoS。然而,目前对ISHO的研究主要集中在用户移动到当前网络覆盖范围之外时,由用户中断激活的切换。FCN的ISHO不仅要满足上述标准,还要满足预测中断、提高QoS、支持用户对通信网络的偏好等其他条件。ISHO程序分为3个步骤;系统发现,系统选择和决策,以及执行。本文主要研究了第一步和第二步,即系统发现、选择和决策,以扩展ISHO以支持上述所有标准,从而使移动主机具有动态网络变化能力,在异构网络之间移动时保持连续的网络连接。为了在网络的多个附着点中选择最优系统,需要对适用于ISHO的资源管理和模糊逻辑进行更多的研究
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An approach for optimal system selection for ISHO in future convergence network
The vision of ubiquitous service has required an increase in the development of future convergence network (FCN) that supports mobile users with seamless migration among heterogeneous networks while maintaining the QoS. The FCN allows mobile users to access to the services at anytime and from anywhere, use various devices, and move among different radio interfaces by executing inter-system handover (ISHO) function. The ISHO can redirect streams of application communication between heterogeneous overlay networks while maintaining the application with QoS. However, current research in ISHO has mainly focused on handovers activated by user's interruptions when user moves out of current network coverage. ISHO for the FCN should not only meet the above criterion, but also meet the other conditions such as predict interruption, improve QoS, support user preference for communication network. The ISHO procedures are divided into 3 steps; system discovery, system selection and decision, and execution. The paper is mainly concentrated on 1st step and 2nd step, the system discovery, selection and decision, in order to extend ISHO to support all above criteria and therefore allow mobile host to have dynamic network changing capabilities to maintain a continuous network connection while moving among heterogeneous networks. In order to select an optimal system among multitude points of attachment available to the network, there is a need for a more investigation into the resource management and the fuzzy logic applicable to the ISHO
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