基于视频流的云游戏缓冲状态和内容感知调度方案

Lijun He, Guizhong Liu, Yuchen Chen
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引用次数: 6

摘要

严格的延迟约束和接收的视频质量是云游戏中最重要的问题。为了提高云游戏的性能,提出了一种感知缓存状态和内容的分组调度方案。在该算法中,建立了缓冲区状态估计模块,根据反馈的ack估计客户端缓冲区和回放信息。估计的缓冲区状态信息可以用来计算报文的紧急程度和用户的权重。在考虑分组优先级、分组紧急度和信道状态的基础上,定义了一种新的实用函数,在此基础上对分组调度和RB分配进行了联合优化。此外,与传统的段请求策略不同,本文还提出了一种基于MAC队列和客户端缓冲区状态估计的自适应段请求方案。仿真结果表明,该算法能有效提高接收视频的质量和播放的连续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Buffer status and content aware scheduling scheme for cloud gaming based on video streaming
Stringent delay constraint and the received video quality are the most important issues in cloud gaming. To improve the performance of the cloud gaming, a buffer status and content aware packet scheduling scheme is proposed. In the proposed algorithm, a buffer status estimation module is established to estimate the client buffer and playback information based on the feedback ACKs. The estimated buffer status information can be used to calculate the packet urgency and users' weights. By considering the packet priority, packet urgency and channel states, we define a novel utility function, based on which packet scheduling and RB assignment are jointly optimized. Furthermore, unlike the conventional segment request strategies, an adaptive segment request scheme is also proposed based on the estimation of MAC queue and client buffer status. Simulation results show that the proposed algorithms can effectively improve the received video quality as well as the playback continuity.
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