VR redefines the well known social network by introducing impressive environment sharing and revolutionary face-to-face interaction. Benefiting from better mobility and affordability, mobile social VR is gaining popularity; however, very little is known about how and how well it performs. In this article, we characterize the workflow of mobile social VR, propose a tentative architecture by drawing lessons from well known techniques, and implement this architecture as a prototype. To analyze mobile social VR's performance and identify potential bottlenecks, we conduct experiments to evaluate and decouple the prototype. We observe that mobile social VR's performance mainly depends on the scene it renders, and existing high-end mobile devices exhaust most GPU resources but still offer poor experience for complicated scenes. Finally, we highlight the major challenges and prospects for future work.

中文翻译：

---

开启移动社交VR的大门：架构，实验和挑战

VR通过引入令人印象深刻的环境共享和革命性的面对面互动，重新定义了知名的社交网络。得益于更好的移动性和可负担性，移动社交VR越来越受欢迎。然而，人们对它的表现和表现知之甚少。在本文中，我们对移动社交VR的工作流程进行了描述，通过借鉴众所周知的技术来提出一种暂定的体系结构，并将该体系结构作为原型实现。为了分析移动社交VR的性能并确定潜在的瓶颈，我们进行了实验，以评估和分离原型。我们观察到，移动社交VR的性能主要取决于其渲染的场景，并且现有的高端移动设备耗尽了大部分GPU资源，但对于复杂的场景仍然提供了糟糕的体验。最后，