异构网络中的切换决策

Sassi Maaloul, Mériem Afif, S. Tabbane
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引用次数: 14

摘要

异构无线网络的集成使移动用户能够同时受益于不同接入技术(RAT: radio access Technology)的无线电覆盖和应用的多样性。如今,应用程序在服务质量(QoS)和动态性方面变得越来越重要。切换机制负责保证移动用户在不同区域间漫游时,在泛在环境下所需要的服务质量。这些不同网络提供的上下文度量的多样化对用户感知的服务质量有直接影响,特别是在网络选择过程中。本文研究了网络选择过程,这是垂直切换决策机制中最重要的阶段。我们提出的垂直切换决策算法基于上下文感知和经验质量(QoE)。它集成了敏感准则的阈值,作为决策过程中选择最优目标网络所需的度量。然而,我们定义了一个决策函数来检查给定网络的性能并确定最佳解决方案。在启动交接后,必须审查所选网络提供的性能,以控制最终用户所感知的服务质量。仿真结果通过避免不必要的切换提高了感知网络的性能。在泛在环境中,大多数切换决策机制会产生乒乓效应,这是由于网络切换指标没有考虑到终端用户所需的性能而造成的。与现有的几种算法相比,我们的算法在不浪费网络资源的情况下符合网络性能和用户偏好的预期变化。由于现有的无线接入技术不能保证所需的连接性能,因此减少了不必要的计算所带来的处理延迟和复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handover Decision in Heterogeneous Networks
The integration of heterogeneous wireless networks allows the mobile users to benefit simultaneously from the radio coverage of different access technologies (RAT: Radio Access Technology) and the diversity of applications. Nowadays, applications are becoming more and more critical in terms of Quality of Service (QoS) and dynamicity. Handover mechanism is responsible of guaranteeing the required quality of service in ubiquitous environment when mobile users roam across different RATs. The diversification of context metrics offered by these different networks has a direct impact on the user perceived quality of service especially during the network selection process. The present work addresses the network selection process, which is the most important stage of the vertical handover decision mechanism. Our proposed algorithm for Vertical Handover decision making is based on the context awareness and the quality of experience (QoE). It integrates the threshold values of sensitive criteria, which are considered as the required metrics in the making decision process used to select the optimal target network. However, we define a decision function that checks the performance of the given networks and identifies the best solution. Performance offered by the chosen network has to be reviewed since the handover is launched to control the quality of service perceived by the end user. Simulation results improve the perceived network performance by avoiding unnecessary handover. In Ubiquitous environment, most Handover decision mechanisms generate a ping pong effect caused by the inefficiency of the network handover metrics which do not consider the required end user performance. As compared to several existing algorithms, our algorithm fits the expected changes in the network performance and the users preferences without wastage of network resources. It reduces the processing delay and the complexity level caused by unnecessary computation over available radio access technologies which do not ensure required connection performance.
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