无线泛在网络下基于虚拟重构的QoE优化理论研究

发布时间：2018-07-29 12:30

【摘要】：近年来，在技术创新和应用需求的双重驱动下，无线通信技术迅速发展，各种无线技术共存，形成无线泛在网络。在此环境下，用户往往拥有多种终端，，各类终端之间通过协同通信，共同满足用户的业务需求，由此虚拟重构技术应运而生。该技术能够改善业务服务质量，从不同角度、不同层次满足用户需求，从而极大地提升用户体验质量（QoE）。本课题将重点研究无线泛在网络下基于虚拟重构的QoE评价方法及优化理论，主要工作包括：首先，综合影响QoE的客观因素和主观因素，建立一种无线泛在网络下基于虚拟重构的改进型QoE分层指标体系。在客观因素方面，采用传统的QoE指标体系；在主观因素方面，将影响QoE的各类主观因素通过用户反馈获得，分别映射到相应的关键质量指标（KQI）上。其次，基于改进型QoE分层指标体系，提出一种无线泛在网络下基于虚拟重构的QoE评价方法，在第1个评估周期内，利用模糊层次分析法获得KQI初始权重值，在后续评估周期，通过用户反馈，实现KQI权重值的动态更新。仿真结果验证了该方法的有效性。最后，提出一种基于资源重构的Max-QoE优化算法，建立了基于不同业务类型的QoE优化模型，并通过模型的松弛、转化以及整数规划进行求解。仿真结果表明Max-QoE优化算法能够有效地提升用户QoE。
[Abstract]:In recent years, with the dual drive of technological innovation and application demand, wireless communication technology has developed rapidly. All kinds of wireless technologies coexist and form a wireless ubiquitous network. In this environment, users often have a variety of terminals, and all kinds of terminals meet the needs of the users through cooperative communication, thus the virtual reconstruction technology arises at the historic moment. The technology can improve the service quality of the service, meet the user's needs from different angles and different levels, thus greatly improve the user experience quality (QoE). This topic will focus on the QoE evaluation method and optimization theory based on virtual reconstruction under the wireless ubiquitous network. The main work includes:
Firstly, the objective factors and subjective factors of QoE are comprehensively affected, and an improved QoE hierarchical index system based on virtual reconstruction is established under the wireless ubiquitous network. In the objective factor, the traditional QoE index system is adopted. In the subjective factor, the subjective factors affecting the QoE are obtained by user feedback, and the corresponding factors are mapped to the corresponding factors. Key quality indicators (KQI).
Secondly, based on the improved QoE hierarchical index system, a QoE evaluation method based on virtual reconstruction is proposed in the wireless ubiquitous network. In the first evaluation period, the initial weight value of KQI is obtained by fuzzy analytic hierarchy process. The dynamic update of the weight of KQI is realized by the user feedback in the follow-up evaluation period. The simulation results verify the method. Effectiveness.
Finally, a Max-QoE optimization algorithm based on resource reconfiguration is proposed, and a QoE optimization model based on different business types is established, and the solution is solved through the relaxation, transformation and integer programming of the model. The simulation results show that the Max-QoE optimization algorithm can effectively improve the user QoE.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP393.09

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