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Robust train-to-wayside video communications in tunnels using H.264 error-resilient video encoding combined with multiple antenna systems

机译:结合使用多天线系统的H.264容错视频编码,在隧道中进行强大的列车到路边视频通信

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With the development of driverless metro systems, the demand for high data rate train-to-wayside wireless transmission is increasing drastically in order to satisfy operational needs such as maintenance, video surveillance of the inside of the trains and passenger information. Thus, the association of new transmission techniques such as new video coding techniques, multi antennas at transmission and reception sides and recent precoders provides technically and economically efficient solutions to improve existing systems. This paper presents and evaluates two novel strategies to enhance train-to-wayside wireless video transmissions in tunnels using realistic channel models obtained with ray tracing previously experimentally validated. Multiple Description Coding (MDC) or Region Of Interest (ROI) coding, using the new Flexible Macroblock Ordering (FMO) technique, is combined with appropriate Multiple Input Multiple Output (MIMO) schemes, namely, spatial multiplexing (SM), orthogonal spatial multiplexing (OSM) and precoded orthogonal spatial multiplexing (P-OSM) depending if full channel state information at transmitter side (CSI-T) is available or not. For each strategy, both video encoding process and MIMO algorithm are combined in an efficient way to provide the best video quality at the receiver with no increase of the number of radio access points along the infrastructure.
机译:随着无人驾驶地铁系统的发展,对高数据速率火车到路边无线传输的需求急剧增加,以满足诸如维护,火车内部视频监控和乘客信息之类的操作需求。因此,诸如新的视频编码技术,发送和接收侧的多天线以及新的预编码器之类的新传输技术的结合提供了技术上和经济上有效的解决方案,以改善现有系统。本文提出并评估了两种新颖的策略,这些方法可以使用通过射线跟踪获得的真实信道模型来增强隧道中的列车到路边无线视频传输,该模型先前经过实验验证。使用新的灵活宏块排序(FMO)技术的多描述编码(MDC)或感兴趣区域(ROI)编码与适当的多输入多输出(MIMO)方案(即空间复用(SM),正交空间复用)组合在一起(OSM)和预编码的正交空间复用(P-OSM),取决于发射机侧(CSI-T)的完整信道状态信息是否可用。对于每种策略,视频编码过程和MIMO算法都以有效的方式进行了组合,以在接收机处提供最佳的视频质量,而不会增加沿基础结构的无线电访问点的数量。

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