Enabling Mobile Virtual Reality with Open 5G, Fog Computing and Reinforcement Learning
Enabling Mobile Virtual Reality with Open 5G, Fog Computing and Reinforcement Learning
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DOI：
10.1109/mnet.010.2100481
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发表时间：
2022-11
期刊：
影响因子：
9.3
通讯作者：
Yaohua Sun;Jianmin Chen;Zeyu Wang;M. Peng;S. Mao
中科院分区：
文献类型：
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作者：
Yaohua Sun;Jianmin Chen;Zeyu Wang;M. Peng;S. Mao
虚拟现实（VR）是重塑交互体验的新兴技术，可广泛应用于游戏、操作培训等领域。尽管潜力巨大，但大多数现有 VR 解决方案都存在移动性支持低、延迟高、电池消耗快以及用户设备成本高等问题。为了克服这些问题，设计并实现了移动VR系统。基本思路是利用5G和雾计算的优势，实现高带宽、低延迟的VR服务。同时，我们的设计特点是开放式5G基站（BS）和智能控制器的集成。借助人工智能（AI）以及BS和雾VR服务器提供的接口，控制器可以明智地调整BS级和应用程序级参数，以增强系统性能。使用我们的原型系统，各种参数的影响、雾计算相对于云计算在支持VR方面的优越性以及AI在优化系统性能方面的有效性都得到了证明。此外，VR交付的多维资源优化和VR服务迁移的策略设计被认为是未来两个有前途的研究方向。
Virtual reality (VR) is an emerging technology reshaping interactive experience and can be widely applied in gaming, operation training, and so on. Despite its great potentials, most existing VR solutions suffer from low mobility support, high latency, quick battery drain, as well as high cost of user devices. To overcome these issues, a mobile VR system is designed and implemented. The basic idea is to take advantage of 5G and fog computing to realize high bandwidth and low latency VR service. Meanwhile, our design features the integration of an open 5G base station (BS) and an intelligent controller. With the help of artificial intelligence (AI) and the interfaces provided by the BS and fog VR servers, the controller can wisely adjust both the BS-level and application-level parameters to enhance system performance. Using our prototype system, the impact of various parameters, the superiority of fog computing over cloud computing in supporting VR, and the effectiveness of AI in optimizing system performance are all demonstrated. In addition, multi-dimensional resource optimization for VR delivery and strategy design for VR service migration are identified as two promising future research directions.