基于IMS网络的高效垂直切换方案及成本分析

H. Allouch, M. Belkasmi
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引用次数: 3

摘要

基于下一代网络即IP多媒体子系统(IMS)的接入网,由于其各种移动性、资源分配、干扰、异构性和泛在性等特点,对网络IMS (IP Multimedia subsystem)提出了诸多挑战。在WiMAX、WLAN、UMTS和LTE/LTE Advanced接口等异构接入技术之间,提出了一种基于IMS的自适应环境,用于移动性管理、切换管理和服务质量(QoS)提供。但是,尤其是交接决策问题,由于其解决的影响,主要是对交接绩效的影响;为了解决基于IMS的最佳网络接入决策和选择问题,提出了人工神经网络。所提出的方法算法的目标是通过新的通用移动性管理架构,通过减少切换延迟和实现不同异构单元和网络之间的负载平衡,最大限度地提高切换性能和可靠性,从而提高系统资源利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient vertical handover scheme on IMS network and cost analysis
According to the various mobility, the resource allocation, interference, and the characteristics of heterogeneity and ubiquity of access network based on the next generation network, namely, the network IMS (IP Multimedia subsystem), have imposed several challenges. In regard to mobility management, handover management, and Quality of Service (QoS) provisioning, this paper proposes an adaptive environment based on IMS, between the heterogeneous access technologies, like WiMAX, WLAN, UMTS and LTE/LTE Advanced interfaces. Nevertheless, especially, the problem of handover decision, as resolving it influence, mainly on the handover performance; ANN(Artificial Neural Network) is proposed to solve the problem of decision and selection of best network access based IMS. The objective of proposed approach algorithms, is to maximize handover performance and reliability, with a new generic mobility management architecture, for system resource utilization by reducing handover latency and achieving load balance between different heterogeneous cells and networks.
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