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
摘要：
近年来，增强现实（Augmented Reality，简称AR）技术引起了广泛的关注。然而，当前的AR设备具有缺点，例如，计算能力弱、功耗大。为了解决这个问题，可以引入移动边缘计算（MEC）作为通过第五代移动通信技术（5G）网络将数据和计算从AR设备卸载到MEC服务器的关键技术。为此，本文提出了一种用于5G网络中AR业务的基于上下文的MEC平台。该平台以MEC为数据处理中心，将AR设备简化为通用的输入/输出设备，克服了它们的局限性，实现了更好的用户体验。最后，给出了平台的概念验证（Proof-of-concept，简称POF）硬件原型，并分别实现了导航和人脸识别两个典型的AR服务用例，验证了平台的可行性和有效性。最后，对平台的性能进行了数值评估，结果验证了系统的设计，与设计预期相吻合。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
