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

机译:802.11 WLAN的强大可扩展视频传输的自适应跨层保护策略

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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:Video的强大流程超过802.11无线局域网造成许多挑战,包括应对接收器的带宽变化,数据损耗和异质性。目前,通过提供自己的优化适应和保护机制,每个网络层(包括物理层,媒体访问控制(MAC),传输和应用层)为这些挑战提供了单独的解决方案。然而,这种分层策略并不总是导致视频传输的最佳整体性能。此外,某些保护策略可以在几层中同时实现,因此,需要识别来自应用程序和复杂性视角的最佳选择。在本文中,我们评估了不同层中可用的不同的误差控制和适应机制,以实现视频,即MAC重传策略,应用层前向纠错,带宽自适应压缩,使用可扩展编码和自适应打包策略。随后,我们提出了一种新颖的自适应跨层保护策略,用于通过执行吞吐量,可靠性和延迟之间的权衡来提高可扩展视频传输的稳健性和效率,具体取决于信道条件和应用要求。使用所提出的自适应跨层保护策略获得的结果表明,在各种信道条件下发射视频的可视性能显着提高。

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