Improving Cloud Gaming Experience through Mobile Edge Computing
Improving Cloud Gaming Experience through Mobile Edge Computing
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DOI：
10.1109/mwc.2019.1800440
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发表时间：
2019-04
影响因子：
12.9
通讯作者：
Xu Zhang;Hao Chen;Yangchao Zhao;Zhan Ma;Yiling Xu;Haojun Huang;H. Yin;Dapeng Oliver Wu
中科院分区：
文献类型：
--
作者：
Xu Zhang;Hao Chen;Yangchao Zhao;Zhan Ma;Yiling Xu;Haojun Huang;H. Yin;Dapeng Oliver Wu
随着4G/5G技术和智能设备的发展，越来越多的用户开始通过移动设备玩游戏。云游戏是一种很有前途的方式，可以让用户玩任何游戏，它是一种以视频的形式在云上远程呈现游戏场景的流媒体游戏。然而，它在长延时和高网络带宽方面面临着重大挑战。为此，提出了一种新的框架EdgeGame，通过利用边缘资源来改善云游戏体验。与现有的云游戏系统相比，EdgeGame将计算密集型的渲染卸载到网络边缘，可以极大地减少网络延迟和带宽消耗。此外，EdgeGame在边缘引入深度强化学习，以自适应地调整视频码率以适应网络动态。最后，我们实现了一个原型系统，并与现有的云游戏系统进行了比较。实验表明，EdgeGame可以降低50%的平均网络延迟，提高20%的用户QOE。
With the development of 4G/5G technology and smart devices, more and more users begin to play games via their mobile devices. As a promising way to enable users to play any games, cloud gaming is proposed to stream game scene rendered remotely in the cloud with the format of video. However, it faces major challenges in terms of long delay and high network bandwidth. To this end, a novel framework named EdgeGame is proposed to improve the cloud gaming experience by leveraging resources in the edge. Compared to existing cloud gaming systems, EdgeGame offloads the computation-intensive rendering to the network edge instead, which can reduce network delay and bandwidth consumption greatly. Moreover, EdgeGame introduces deep reinforcement learning in the edge to adjust the video bitrates adaptively to accommodate the network dynamics. Finally, we implemented a prototype system and compared it with an existing cloud gaming system. The experiments show that EdgeGame can reduce the average network delay by 50 percent and improve user's QoE by 20 percent.