异构无线网络环境下网络垂直切换判决技术研究与分析

发布时间：2018-07-04 06:50

本文选题：异构无线网络 + 垂直切换框架　；参考：《南京理工大学》2014年硕士论文

【摘要】：异构无线网络融合是未来网络的一个重要发展趋势。在异构无线网络环境下,用户可以充分利用不同无线网络的技术优势,获得"Always Best Connection, ABC"。但是这些不同类型无线网络在接入技术、覆盖范围、业务类型等方面有很大不同,使得传统的水平切换技术已经无法解决异构无线网络的移动性管理问题,因此垂直切换技术正是为了解决移动终端在异构无线网络环境中无缝切换而诞生的网络切换技术。本文研究和设计了网络垂直切换框架以及垂直切换判决算法： 1、改进了基于MIH的垂直切换框架。本文在IEEE802.21MIH的基础上,设计了一个垂直切换管理模块,实现终端状态的感知以及网络QoS评分的计算、收集和分享。 2、设计了一种终端控制、网络辅助的垂直切换判决算法。本文在垂直切换框架的基础上,提出基于网络得分预测和模糊逻辑优化的垂直切换判决算法(NP-FVHD),该算法针对四种不同的业务类型分别计算网络QoS得分,并利用一阶单变量灰色预测模型GM(1,1)预测未来网络QoS得分；利用终端移动速度和预计驻留时间进行网络预筛选和预判决；根据网络QOS得分的真实值、预测值和终端电池电量做出网络的垂直切换判决。另外,本文提出了一种增加用户体验质量反馈的建议。论文针对上述研究开展了实验验证：首先,定量分析了垂直切换框架的性能,分析结果表明,框架能够有效地降低切垂直换判决的时延和终端电池电量的消耗；然后,设计了三种不同的网络QoS变化仿真场景来验证NP-FVHD算法的性能,实验结果表明,本文提出的NP-FVHD能够有效地增加网络QoS评价的准确性,并且能有效减少不必要的网络切换,降低“乒乓效应”,延长终端的续航时间。
[Abstract]:Heterogeneous wireless network fusion is an important trend in the future. In heterogeneous wireless network environment, users can make full use of the technological advantages of different wireless networks to obtain "Always Best connection, ABCs". However, these different types of wireless networks are very different in access technology, coverage range, service type and so on, which makes the traditional horizontal handover technology can not solve the mobility management problem of heterogeneous wireless networks. Therefore, vertical handoff technology is a network handover technology which is born to solve the seamless handoff of mobile terminal in heterogeneous wireless network environment. In this paper, the vertical handoff framework and the vertical handoff decision algorithm are studied and designed. 1. The vertical handoff framework based on MIH is improved. On the basis of IEEE 802.21 MIH, a vertical handover management module is designed to realize terminal state perception and network QoS score calculation, collection and sharing. 2. A terminal control is designed. Network aided vertical handoff decision algorithm. Based on the vertical handoff framework, this paper proposes a vertical handoff decision algorithm (NP-FVHD) based on network score prediction and fuzzy logic optimization, which calculates the QoS score of the network for four different traffic types. The first order single variable grey prediction model GM (1 / 1) is used to predict the future network QoS scores, the terminal moving speed and the estimated residence time are used to pre-filter and pre-judge the network, and according to the true value of the network QOS score, The prediction value and the terminal battery quantity are used to determine the vertical switching of the network. In addition, this paper puts forward a suggestion to increase the quality feedback of user experience. Firstly, the performance of the vertical switching frame is quantitatively analyzed. The results show that the framework can effectively reduce the time delay of the tangential vertical switching decision and the power consumption of the terminal battery. Three different network QoS simulation scenarios are designed to verify the performance of NP-FVHD algorithm. Experimental results show that NP-FVHD proposed in this paper can effectively increase the accuracy of network QoS evaluation and reduce unnecessary network switching. Reduce "ping-pong effect" and extend terminal life.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92

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