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Online source rate control for adaptive video streaming over HSPA and LTE-style variable bit rate downlink channels

机译:通过Hspa和LTE风格的可变比特率下行链路信道进行自适应视频流的在线源速率控制

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摘要

Online source rate control is designed for video streaming over HSPA and LTE-style Variable BitRate (VBR) downlink channels. The problem is formulated as the adaptive adjustment of the operational mode of a video encoder based on the buffer overflow probability (BOP) feedback received from the Radio Link Control (RLC) layer at base station. This allows us to maximize the attainable visual quality, while keeping the transmitter buffer overflow probability below a desired threshold as well as maintaining as low a video delay as possible. We derive an online measurement based BOP estimation model for the RLC buffer, which is capable of operating without any prior knowledge of the channel variations and of the video characteristics. Based on this estimation model, an online adaptive rate control algorithm is proposed in order to seamlessly adapt the bit stream to the characteristics of VBR channels. Our experiments are conducted in multiuser scenarios using VBR video encoding combined with adaptive modulation and coding (AMC) in the transceiver. The results demonstrate that the proposed source rate control regime supports near-instantaneous, yet smooth bit stream adaptability, which makes it useful for HSPA and LTE-style systems for the sake of accommodating unknown video traffic characteristics and dynamically fluctuating propagation conditions
机译:在线源速率控制旨在用于通过HSPA和LTE风格的可变比特率(VBR)下行链路通道进行视频流传输。根据从基站的无线链路控制(RLC)层接收到的缓冲区溢出概率(BOP)反馈,将问题表述为视频编码器工作模式的自适应调整。这使我们能够最大化可获得的视觉质量,同时将发送器缓冲区的溢出概率保持在所需阈值以下,并保持尽可能低的视频延迟。我们为RLC缓冲区推导了基于在线测量的BOP估计模型,该模型能够在不事先了解频道变化和视频特性的情况下进行操作。基于该估计模型,提出了一种在线自适应速率控制算法,以使比特流无缝适应VBR信道的特性。我们的实验是在多用户场景中使用VBR视频编码结合收发器中的自适应调制和编码(AMC)进行的。结果表明,提出的源速率控制机制支持近乎瞬时但平滑的比特流适应性,这使其可用于HSPA和LTE风格的系统,以适应未知的视频流量特性并动态波动的传播条件

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