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Utility-Based H.264/SVC Video Streaming Over Multi-Channel Cognitive Radio Networks

机译:在多通道认知无线电网络上基于实用程序的H.264 / SVC视频流

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摘要

In a cognitive radio (CR) network, a secondary user (SU) with multiple interfaces is capable of accessing multiple CR channels in an opportunistic fashion. Therefore, the available channel resources may change dramatically, and the reliabilities of the multiple accessed CR channels are also time-varying. Video streaming in such a multi-channel CR network faces great challenges in guaranteeing the quality of the received video. To deal with these challenges, we adopt H.264/SVC encoded video as the source and firstly optimize the video streaming from the perspective of exploiting more channel resources for the SU by developing a flexible sensing-transmission scheme for opportunistic spectrum access (OSA). In this scheme, the primary user activity, channel sensing result, and channel sensing accuracy are all considered in reducing the unnecessary channel sensings and correspondingly extending the transmission duration for the SU. Based on the flexible sensing-transmission scheme, we then propose a utility-based H.264/SVC video transmission scheme to further improve the expected video quality at the receiver. Specifically , the network abstraction layer units (NALUs) in the SVC video are assigned utilities which accurately reflect their contributions to the video quality, and the total effective utility of expected received video is maximized through perfectly dispatching the NALUs over the multiple CR channels. Both analytical studies and experimental results validate the effectiveness and efficiency of the proposed method.
机译:在认知无线电(CR)网络中,具有多个接口的辅助用户(SU)能够以机会主义的方式访问多个CR通道。因此,可用的信道资源可能发生巨大变化,并且多个访问的CR信道的可靠性也随时间变化。这样的多通道CR网络中的视频流在保证接收视频的质量方面面临巨大挑战。为了应对这些挑战,我们采用H.264 / SVC编码的视频作为源,首先通过为机会频谱接入(OSA)开发灵活的传感传输方案,从为SU开发更多信道资源的角度优化视频流。 。在该方案中,主要用户活动,信道感测结果和信道感测精度都在减少不必要的信道感测并相应地延长SU的传输持续时间的过程中被考虑。基于灵活的传感传输方案,我们然后提出了一种基于实用程序的H.264 / SVC视频传输方案,以进一步提高接收机的预期视频质量。具体而言,为SVC视频中的网络抽象层单元(NALU)分配了实用程序,这些实用程序可以准确反映它们对视频质量的贡献,并且通过在多个CR通道上完美分配NALU,可以最大程度地提高预期接收视频的总体有效效用。分析研究和实验结果均验证了该方法的有效性和效率。

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