首页> 外文会议>International Conference on Embedded and Ubiquitous Computing(EUC 2006); 20060801-04; Seoul(KR) >Efficient Error Control for Scalable Media Transmission over 3G Broadcast Networks
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Efficient Error Control for Scalable Media Transmission over 3G Broadcast Networks

机译:通过3G广播网络进行可扩展媒体传输的有效错误控制

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Broadcast and mobile phone technologies have now combined to provide wireless multimedia services. 3GPP2 has introduced the Broadcast and Multicast Services (BCMCS) architecture in a 3G wireless network. BCMCS are capable of supplying multimedia content, which requires successive frames to arrive within a specific time interval. We analyze the execution time of Reed-Solomon decoding, which is the MAC-layer forward error correction scheme used in cdma2000 1xEV-DO BCMCS, under different air channel conditions. The results show that the time constraints of MPEG-4 cannot be guaranteed by Reed-Solomon decoding when the packet loss rate (PLR) is high, due to its long computation time on current hardware. To alleviate this problem, we propose three error control schemes. Our static scheme bypasses Reed-Solomon decoding at the mobile node to satisfy the MPEG-4 time constraint when the PLR exceeds a given boundary. Our second, dynamic scheme corrects errors in a best-effort manner within the time constraint, instead of giving up altogether when the PLR is high. The third, video-aware dynamic scheme fixes errors in a similar way to the dynamic scheme, but in a priority-driven manner which improves the quality of the final video. Extensive simulation results show the effectiveness of our schemes compared to the original FEC scheme.
机译:广播和移动电话技术现已结合起来提供无线多媒体服务。 3GPP2在3G无线网络中引入了广播和多播服务(BCMCS)体系结构。 BCMCS能够提供多媒体内容,这需要连续的帧才能在特定的时间间隔内到达。我们分析了Reed-Solomon解码的执行时间,这是在不同空中信道条件下cdma2000 1xEV-DO BCMCS中使用的MAC层前向纠错方案。结果表明,由于丢包率(PLR)高时,由于Reed-Solomon解码在当前硬件上的计算时间较长,因此无法通过MPEG-4的时间限制来保证。为了缓解这个问题,我们提出了三种错误控制方案。当PLR超过给定边界时,我们的静态方案会绕过移动节点的Reed-Solomon解码以满足MPEG-4时间限制。我们的第二种动态方案是在时间限制内以尽力而为的方式纠正错误,而不是在PLR高时完全放弃。第三个视频感知动态方案以与动态方案相似的方式修复错误,但是以优先级驱动的方式进行修复,从而提高了最终视频的质量。大量的仿真结果表明,与原始FEC方案相比,我们的方案是有效的。

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