In order to mitigate the long processing delay and high energy consumption of mobile augmented reality (AR) applications, mobile edge computing (MEC) has been recently proposed and is envisioned as a promising means to deliver better Quality of Experience (QoE) for AR consumers. In this article, we first present a comprehensive AR overview, including the indispensable components of general AR applications, fashionable AR devices, and several existing techniques for overcoming the thorny latency and energy consumption problems. Then we propose a novel hierarchical computation architecture by inserting an edge layer between the conventional user layer and cloud layer. Based on the proposed architecture, we further develop an innovative operation mechanism to improve the performance of mobile AR applications. Three key technologies are also discussed to further assist the proposed AR architecture. Simulation results are finally provided to verify that our proposals can significantly improve latency and energy performance as compared to existing baseline schemes.

中文翻译：

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基于边缘计算的移动增强现实架构

为了减轻移动增强现实（AR）应用程序的长处理延迟和高能耗，最近提出了移动边缘计算（MEC），并将其设想为为AR消费者提供更好的体验质量（QoE）的有前途的手段。 。在本文中，我们首先提供全面的AR概述，包括通用AR应用程序，时尚的AR设备以及克服棘手的时延和能耗问题的几种现有技术所必需的组件。然后，我们通过在常规用户层和云层之间插入边缘层，提出了一种新颖的分层计算架构。基于提出的架构，我们进一步开发了一种创新的操作机制来提高移动AR应用程序的性能。还讨论了三种关键技术，以进一步辅助所提出的AR体系结构。最后提供了仿真结果，以验证我们的建议与现有的基准方案相比可以显着改善延迟和能源性能。