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Integrated Bandwidth Variation Pattern Differentiation for HTTP Adaptive Streaming over 4G Cellular Networks

机译:用于4G蜂窝网络的HTTP自适应流的集成带宽变化模式差异

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HTTP adaptive streaming (HAS) is the state-of-the-art technology for improving the quality of user experience under conditions of time-varying available bandwidth. Developing the bitrate adaptation algorithm becomes more challenging with the transition to 4G cellular networks. The features of bandwidth variation caused by changes in radio channel quality are significantly different from the pattern caused by changes in radio channel resources. In this paper, we propose a bitrate adaptation algorithm for 4G cellular networks with bandwidth variation pattern differentiation. By investigating the bandwidth data profiles collected from an actual 4G cellular network with the field test approach, we distinguish the pattern of bandwidth capacity variations as sustained fluctuations and instantaneous hopping. With bandwidth variation pattern differentiation, the proposed algorithm performs a smoothed bitrate adaptation to sustained fluctuations and an instant bitrate adaptation to instantaneous hopping. Performance evaluations obtained on a 4G cellular network testbed demonstrate that the algorithm achieves reductions in bitrate switching frequency and playback stalls while increasing the average bitrate.
机译:HTTP自适应流(具有)是最先进的技术,用于提高在时变可用带宽条件下提高用户体验的质量。开发比特率适应算法随着到4G蜂窝网络的转换而变得更具挑战性。由无线电信道质量的变化引起的带宽变化的特征与由无线电信道资源的变化引起的模式显着不同。在本文中,我们提出了一种具有带宽变化模式分化的4G蜂窝网络的比特率适应算法。通过利用现场测试方法研究从实际的4G蜂窝网络收集的带宽数据分布,我们将带宽容量变化的模式区分解为持续波动和瞬间跳跃。利用带宽变化模式分化,所提出的算法对持续的波动和瞬时跳跃的瞬间比特率适应进行平滑的比特率适应。在4G蜂窝网络测试平台上获得的性能评估表明,该算法在增加平均比特率的同时实现比特率开关频率和播放停顿的算法。

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