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:随着成熟的技术正在增强不同层面的力量,Metevour及其承诺正在迅速成为现实。Metevor的突出内容之一是它提供了高度隐蔽和互动的社会化的可能性。虚拟现实(VR)技术是Metevevor内部虚拟宇宙的支柱,因为这些技术能够带来超现实和沉浸的经验,特别是在社会化方面。由于虚拟世界3D的场景的分辨率和框架率很高,这些场景将被卸到边端服务器上进行计算。此外,元反是设计中的用户中心,而人类用户始终是核心。在这项工作中,我们引入了多用户VR计算,以卸载无线通信情景。此外,我们设计了一种新的以用户为中心的深入强化学习方法,以找到接近最佳的解决方案。广泛的实验表明,我们的方法可以在各种要求和制约下带来显著的成果。</s>