The Metaverse and its promises are fast becoming reality as maturing technologies are empowering the different facets. One of the highlights of the Metaverse is that it offers the possibility for highly immersive and interactive socialization. Virtual reality (VR) technologies are the backbone for the virtual universe within the Metaverse as they enable a hyper-realistic and immersive experience, and especially so in the context of socialization. As the virtual world 3D scenes to be rendered are of high resolution and frame rate, these scenes will be offloaded to an edge server for computation. Besides, the metaverse is user-center by design, and human users are always the core. In this work, we introduce a multi-user VR computation offloading over wireless communication scenario. In addition, we devised a novel user-centered deep reinforcement learning approach to find a near-optimal solution. Extensive experiments demonstrate that our approach can lead to remarkable results under various requirements and constraints.

翻译：元宇宙及其承诺正随着技术的成熟而快速成为现实，其各个维度不断被赋能。元宇宙的亮点之一在于其提供了高度沉浸式与互动社交的可能性。虚拟现实（VR）技术是元宇宙中虚拟宇宙的支柱，它能够实现超逼真且沉浸式的体验，尤其在社交情境下更是如此。由于需要渲染的虚拟世界3D场景具有高分辨率和高帧率，这些场景将被卸载至边缘服务器进行计算。此外，元宇宙本质上是以用户为中心的，人类用户始终是核心。本文提出了一种基于无线通信的多用户VR计算卸载场景。同时，我们设计了一种新颖的基于用户中心的深度强化学习方法，以寻求近优解。大量实验表明，我们的方法能够在各种需求与约束条件下取得显著成效。