标题： 面向QoE的移动增强现实标注渲染通信服务提供 显示英文标题

标题： QoE-oriented Communication Service Provision for Annotation Rendering in Mobile Augmented Reality

摘要： 随着移动增强现实（MAR）的不断发展，未来的6G网络将在支持沉浸式和个性化的用户体验方面发挥关键作用。 在本文中，我们解决了边缘辅助MAR中的注释渲染通信服务提供问题，目标是在确保MAR用户所需体验质量（QoE）的同时优化频谱资源利用率。 为了克服用户特定的上行数据流量模式以及注释渲染的复杂操作机制，我们提出了一种基于数字孪生（DT）的方法。 我们首先为MAR应用设计了一个专门的DT，以学习关键的注释渲染机制，使网络控制器能够访问MAR应用特定的信息。 然后，我们开发了一种基于DT的QoE建模方法，以捕捉个体用户QoE与频谱资源需求之间的独特关系。 最后，我们提出了一种面向QoE的资源分配算法，与传统的基于网络切片的方法相比，该算法降低了资源利用率。 仿真结果表明，我们的基于DT的方法在QoE建模的准确性和粒度方面优于基准方法。 显示英文摘要

摘要： As mobile augmented reality (MAR) continues to evolve, future 6G networks will play a pivotal role in supporting immersive and personalized user experiences. In this paper, we address the communication service provision problem for annotation rendering in edge-assisted MAR, with the objective of optimizing spectrum resource utilization while ensuring the required quality of experience (QoE) for MAR users. To overcome the challenges of user-specific uplink data traffic patterns and the complex operational mechanisms of annotation rendering, we propose a digital twin (DT)-based approach. We first design a DT specifically tailored for MAR applications to learn key annotation rendering mechanisms, enabling the network controller to access MAR application-specific information. Then, we develop a DT based QoE modeling approach to capture the unique relationship between individual user QoE and spectrum resource demands. Finally, we propose a QoE-oriented resource allocation algorithm that decreases resource utilization compared to conventional net work slicing-based approaches. Simulation results demonstrate that our DT-based approach outperforms benchmark approaches in the accuracy and granularity of QoE modeling.