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Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs

机译:自适应跨层保护策略,用于通过802.11 WLAN进行可靠的可扩展视频传输

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摘要

Robust streaming of video over 802.11 wireless local area networks poses many challenges, including coping with bandwidth variations, data losses, and heterogeneity of the receivers. Currently, each network layer (including physical layer, media access control (MAC), transport, and application layers) provides a separate solution to these challenges by providing its own optimized adaptation and protection mechanisms. However, this layered strategy does not always result in an optimal overall performance for the transmission of video. Moreover, certain protection strategies can be implemented simultaneously in several layers and, hence, the optimal choices from the application and complexity perspective need to be identified. In this paper, we evaluate different error control and adaptation mechanisms available in the different layers for robust transmission of video, namely MAC retransmission strategy, application-layer forward error correction, bandwidth-adaptive compression using scalable coding, and adaptive packetization strategies. Subsequently, we propose a novel adaptive cross-layer protection strategy for enhancing the robustness and efficiency of scalable video transmission by performing tradeoffs between throughput, reliability, and delay depending on the channel conditions and application requirements. The results obtained using the proposed adaptive cross-layer protection strategies show a significantly improved visual performance for the transmitted video over a variety of channel conditions.
机译:802.11无线局域网上视频的强大流传输带来许多挑战,包括应对带宽变化,数据丢失和接收器的异构性。当前,每个网络层(包括物理层,媒体访问控制(MAC),传输和应用程序层)通过提供自己优化的适应和保护机制,为这些挑战提供了单独的解决方案。但是,这种分层策略并不总能为视频传输带来最佳的整体性能。此外,某些保护策略可以同时在多个层中实施,因此,需要确定从应用程序和复杂性角度出发的最佳选择。在本文中,我们评估了在不同层上可用于视频稳健传输的不同错误控制和自适应机制,即MAC重传策略,应用程序层前向纠错,使用可伸缩编码的带宽自适应压缩和自适应打包策略。随后,我们提出了一种新颖的自适应跨层保护策略,该策略通过根据信道条件和应用要求在吞吐量,可靠性和延迟之间进行权衡,来增强可伸缩视频传输的鲁棒性和效率。使用所提出的自适应跨层保护策略获得的结果表明,在各种信道条件下,所传输视频的视觉性能均得到了显着改善。

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