智能缓存的实时360°视频流在移动网络

P. Maniotis, N. Thomos
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引用次数: 1

摘要

尽管5G系统取得了进步,但由于360°视频文件的大小,在移动网络中传输360°视频内容仍然具有挑战性。最近,边缘缓存已经被证明可以为360°视频点播(VoD)交付系统带来巨大的性能提升,但是现有系统不能直接应用于实时360°视频流。为了解决这个问题,我们研究了边缘缓存辅助的360°实时视频流。由于视频和贴片的受欢迎程度随时间而变化,我们的框架采用长短期记忆(LSTM)网络来确定最佳缓存放置/删除策略,从而优化用户呈现的视频质量。为进一步提升传送的视像质素,位于多个附属电台覆盖范围重叠的用户可从其中任何一个附属电台接收数据。我们评估和比较我们的方法与最先进的系统的性能。结果表明了该方法相对于同类方法的优越性,并明确了LSTM网络对瓷砖流行度的准确预测以及用户与多个sbs的关联在交付质量方面的好处。
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Smart caching for live 360° video streaming in mobile networks
Despite the advances of 5G systems, the delivery of 360° video content in mobile networks remains challenging because of the size of 360° video files. Recently, edge caching has been shown to bring large performance gains to 360° Video on Demand (VoD) delivery systems, however existing systems cannot be straightforwardly applied to live 360° video streaming. To address this issue, we investigate edge cache-assisted live 360° video streaming. As videos’ and tiles’ popularities vary with time, our framework employs a Long Short-Term Memory (LSTM) network to determine the optimal cache placement/evictions strategies that optimize the quality of the videos rendered by the users. To further enhance the delivered video quality, users located in the overlap of the coverage areas of multiple SBSs are allowed to receive their data from any of these SBSs. We evaluate and compare the performance of our method with that of state-of-the-art systems. The results show the superiority of the proposed method against its counterparts, and make clear the benefits of accurate tiles’ popularity prediction by the LSTM networks and users association with multiple SBSs in terms of the delivered quality.
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