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User in the loop: QoE-oriented optimization in communication and networks

机译:循环中的用户:通信和网络中面向QoE的优化

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Improving users' quality of experience (QoE) has become a consensus in wireless communications. Although the wireless network technology keeps evolving from 3G to 4G and the foreseeable 5G, QoE assurance in service provisioning is still a challenging task, partly due to the complicated mechanism in optimizing QoE. In this paper, we present a concept of QoE-oriented optimization for resource allocation and network configuration (RA-NC) in communications and networks. The QoE-oriented optimization is not a simple change in optimization goal from QoS to QoE of traditional QoS-oriented optimization, but a systematic rethink on the impacts of QoE on RA-NC problem. First, we introduce the main idea of QoE-oriented optimization from the perspective of RA-NC optimization modeling. Then, detailed principles, requirements and challenges are explained for QoE-oriented optimization. Finally, we envision an end-to-end QoE optimization framework, where the smartphone explores real-time users' QoE feedback data captured by sensors to improve user's QoE in an online, model-freed manner.
机译:改善用户的体验质量(QoE)已成为无线通信领域的共识。尽管无线网络技术一直在从3G到4G以及可预见的5G演进,但是服务提供中的QoE保证仍然是一项艰巨的任务,部分原因是优化QoE的机制很复杂。在本文中,我们提出了面向QoE的通信和网络中资源分配和网络配置(RA-NC)优化的概念。面向QoE的优化不是从QoS到传统QoS面向优化的QoE的优化目标的简单转变,而是对QoE对RA-NC问题影响的系统思考。首先,我们从RA-NC优化建模的角度介绍面向QoE的优化的主要思想。然后,详细说明了面向QoE的优化的原理,要求和挑战。最后,我们构想了一个端到端的QoE优化框架,在该框架中,智能手机探索由传感器捕获的实时用户的QoE反馈数据,以在线,无模型的方式改善用户的QoE。

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