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:元宇宙包括我们对下一代互联网的期望,带来了一些新的关键绩效指标(KPI)。尽管传统的极限可靠低延迟通信(URLLC)可以满足客观KPI,但是提供个性化沉浸式体验,这是元宇宙的一个独特特点,是很困难的。由于体验质量可以被视为综合KPI,因此URLLC演进到下一代URLLC(xURLLC),具有个性化的资源分配方案,以实现更高的体验质量。为了部署元宇宙xURLLC服务,我们研究了元宇宙服务提供商(MSP)和网络基础设施提供商(InP)之间的交互,并提供了一个最优契约设计框架。具体来说,最大化MSP的效用,即元宇宙用户的体验质量的函数,同时确保InP的激励。为了数学建模QoE,我们提出了一种新颖的指标Meta-Immersion,它结合了元宇宙用户的客观KPI和主观感受。此外,我们开发了一种关注度感知的渲染容量分配方案,以提高xURLLC中的QoE。使用一个用户-物体-关注度级别的数据集,我们验证xURLLC可以实现比传统的URRLC均匀资源分配方案平均提高20.1%的QoE。