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Cross-Layer Forward Error Correction Scheme Using Raptor and RCPC Codes for Prioritized Video Transmission Over Wireless Channels

机译:使用Raptor和RCPC码的跨层前向纠错方案,用于优先通过无线信道传输视频

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摘要

The unequal error protection (UEP) has shown promising results for transmitting video over error-prone wireless channels. In this paper, we investigate the cross-layer design of forward error correction (FEC) schemes by using the UEP Raptor codes at the application layer (AL) and UEP rate compatible punctured convolutional (RCPC) codes at physical layer (PHY) for prioritized video packets. The video packets are prioritized based on their contribution to the received video quality. A genetic algorithm (GA)-based optimization algorithm is proposed to find the optimal parameters for both Raptor and RCPC codes, to minimize the video distortion and maximize the peak signal-to-noise-ratio for the given video bit rates and channel constraints (i.e., SNR and available bandwidth). We evaluate the performance of four combinations of the UEP schemes for H.264/AVC encoded video sequences over the AWGN and Rayleigh fading channels and show the superiority of the optimized cross-layer UEP FEC scheme. For Rayleigh fading channel, the proposed cross-layer optimization uses two different time-scales at AL and PHY which allows PHY to adapt faster to the changing channel quality.
机译:不均等错误保护(UEP)在易于出错的无线信道上传输视频已显示出令人鼓舞的结果。在本文中,我们通过在应用层(AL)使用UEP Raptor码和在物理层(PHY)使用UEP速率兼容打孔卷积(RCPC)码来研究前向纠错(FEC)方案的跨层设计。视频数据包。根据视频数据包对接收视频质量的贡献,对视频数据包进行优先级排序。提出了一种基于遗传算法(GA)的优化算法,以找到针对Raptor和RCPC码的最佳参数,以在给定视频比特率和频道约束条件下,最小化视频失真并最大化峰值信噪比(即SNR和可用带宽)。我们评估了AWGN和瑞利衰落信道上H.264 / AVC编码视频序列的UEP方案的四种组合的性能,并显示了优化的跨层UEP FEC方案的优越性。对于瑞利衰落信道,建议的跨层优化在AL和PHY处使用两个不同的时标,这使PHY可以更快地适应变化的信道质量。

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