Metaverse encapsulates our expectations of the next-generation Internet, while bringing new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency communications (URLLC) can satisfy objective KPIs, it is difficult to provide a personalized immersive experience that is a distinctive feature of the Metaverse. Since the quality of experience (QoE) can be regarded as a comprehensive KPI, the URLLC is evolved towards the next generation URLLC (xURLLC) with a personalized resource allocation scheme to achieve higher QoE. To deploy Metaverse xURLLC services, we study the interaction between the Metaverse service provider (MSP) and the network infrastructure provider (InP), and provide an optimal contract design framework. Specifically, the utility of the MSP, defined as a function of Metaverse users' QoE, is to be maximized, while ensuring the incentives of the InP. To model the QoE mathematically, we propose a novel metric named Meta-Immersion that incorporates both the objective KPIs and subjective feelings of Metaverse users. Furthermore, we develop an attention-aware rendering capacity allocation scheme to improve QoE in xURLLC. Using a user-object-attention level dataset, we validate that the xURLLC can achieve an average of 20.1% QoE improvement compared to the conventional URLLC with a uniform resource allocation scheme.

翻译：元宇宙承载了人们对下一代互联网的期待，同时催生了新的关键性能指标（KPI）。尽管传统超可靠低延迟通信（URLLC）能够满足客观KPI，但难以提供作为元宇宙标志性特征的个性化沉浸式体验。由于体验质量（QoE）可被视为综合性KPI，URLLC正朝着具有个性化资源分配方案的下一代URLLC（xURLLC）演进，以追求更高的QoE。为部署元宇宙xURLLC服务，我们研究了元宇宙服务提供商（MSP）与网络基础设施提供商（InP）之间的交互，并提出了最优合同设计框架。具体而言，以元宇宙用户QoE函数定义的MSP效用需在确保InP激励的前提下最大化。为数学建模QoE，我们提出了一种名为"Meta-沉浸度"的新指标，该指标融合了元宇宙用户的客观KPI与主观感受。此外，我们开发了一种注意力感知的渲染容量分配方案以提升xURLLC中的QoE。利用用户-对象-注意力水平数据集，我们验证了xURLLC相比采用统一资源分配方案的传统URLLC可平均提升20.1%的QoE。