An Edge-Computing Based Architecture for Mobile Augmented Reality
An Edge-Computing Based Architecture for Mobile Augmented Reality
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DOI：
10.1109/mnet.2018.1800132
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发表时间：
2018-10
期刊：
影响因子：
9.3
通讯作者：
Jinke Ren;Yinghui He;Guan Huang;Guanding Yu;Yunlong Cai;Zhaoyang Zhang
中科院分区：
文献类型：
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作者：
Jinke Ren;Yinghui He;Guan Huang;Guanding Yu;Yunlong Cai;Zhaoyang Zhang
为了缓解移动增强现实（AR）应用程序的长处理延迟和高能耗，移动边缘计算（MEC）最近被提出，并被设想为一种有前途的手段，为AR消费者提供更好的体验质量（QoE）。在本文中，我们首先介绍了全面的AR概述，包括一般AR应用程序不可或缺的组件、流行的AR设备，以及用于克服棘手的延迟和能耗问题的几种现有技术。然后在传统用户层和云层之间插入边缘层，提出了一种新的分层计算结构。基于所提出的架构，我们进一步开发了一种创新的操作机制，以提高移动AR应用程序的性能。本文还讨论了进一步辅助AR架构的三个关键技术。仿真结果表明，与现有的基准方案相比，我们的方案可以显著改善延迟和能源性能。
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.