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：元宇宙承载着我们对下一代互联网的期待，同时也带来了新的关键性能指标（KPI）。虽然传统超可靠低时延通信（URLLC）能够满足客观KPI要求，但难以提供作为元宇宙独特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正朝着采用个性化资源分配方案以实现更高QoE的下一代URLLC（xURLLC）演进。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）之间的交互关系，并提出了最优契约设计框架。具体而言，MSP的效用被定义为元宇宙用户QoE的函数，需在保证InP激励兼容性的前提下实现最大化。为从数学上建模QoE，我们提出名为"Meta-Immersion"的新颖度量指标，该指标同时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。通过使用用户-对象-注意力层级数据集，我们验证了与传统采用统一资源分配方案的URLLC相比，xURLLC平均可实现20.1%的QoE提升。