论文标题
基于上下文的MEC平台，用于5G网络中的增强现实服务
Context-Based MEC Platform for Augmented-Reality Services in 5G Networks
论文作者
论文摘要
近年来，增强现实（AR）引起了极大的关注。但是，当前的AR设备具有缺点，例如计算能力较弱和大量功耗。为了解决该问题，可以通过第五代移动通信技术（5G）网络将移动边缘计算（MEC）作为关键技术引入，以将数据和计算从AR设备转移到MEC服务器。为此，本文提出了5G网络中基于上下文的MEC服务平台。在平台上，MEC被用作数据处理中心，而AR设备则被简化为通用输入/输出设备，从而克服了其局限性并实现了更好的用户体验。此外，分别实施了平台的概念验证（POC）硬件原型，以及提供导航和面部识别服务的两个典型用例，以证明平台的可行性和有效性。最后，该平台的性能还进行了数值评估，结果验证了系统设计，并且与设计期望很好。
Augmented reality (AR) has drawn great attention in recent years. However, current AR devices have drawbacks, e.g., weak computation ability and large power consumption. To solve the problem, mobile edge computing (MEC) can be introduced as a key technology to offload data and computation from AR devices to MEC servers via 5th Generation Mobile Communication Technology (5G) networks. To this end, a context-based MEC platform for AR services in 5G networks is proposed in this paper. On the platform, MEC is employed as a data processing center while AR devices are simplified as universal input/output devices, which overcomes their limitations and achieves better user experience. Moreover, the proof-of-concept (PoC) hardware prototype of the platform, and two typical use cases providing AR services of navigation and face recognition respectively are implemented to demonstrate the feasibility and effectiveness of the platform. Finally, the performance of the platform is also numerically evaluated, and the results validate the system design and agree well with the design expectations.
