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首页> 外文期刊>Mobile Computing, IEEE Transactions on >Raptor Code-Aware Link Adaptation for Spectrally Efficient Unicast Video Streaming over Mobile Broadband Networks
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Raptor Code-Aware Link Adaptation for Spectrally Efficient Unicast Video Streaming over Mobile Broadband Networks

机译:Raptor代码感知链接自适应,可在移动宽带网络上实现频谱高效的单播视频流

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This paper proposes novel Raptor-aware link adaptation (LA) when application layer Forward Error Correction (AL-FEC) with Raptor codes is used for live, high quality, video unicast over mobile broadband networks. The use of Raptor code AL-FEC is taken into account for the adaptation of the modulation and coding scheme (MCS) used in the physical layer. A cross-layer optimization approach is used to select the Raptor code parameters and the MCS mode in order to maximize transmission efficiency. The proposed methodology takes into consideration the channel resources required to accommodate the Raptor overheads. Simulation results show that packet loss is eliminated and the amount of radio resource required is reduced significantly. Automatic repeat request (ARQ) based unicast systems require up to 115.6 percent more channel resources, by comparison to the proposed Raptor-aware LA system without retransmissions. Furthermore, the Raptor-aware LA system can enhance the link budget by up to 4 dB, increasing coverage in LoS locations, and can improve total goodput by 46.7 percent compared to an ARQ-based system.
机译:当带有Raptor码的应用层前向纠错(AL-FEC)用于移动宽带网络上的实时高质量视频单播时,本文提出了一种新颖的感知Raptor的链路自适应(LA)。为了适应物理层中使用的调制和编码方案(MCS),考虑了猛禽代码AL-FEC的使用。跨层优化方法用于选择Raptor代码参数和MCS模式,以使传输效率最大化。所提出的方法考虑了容纳猛禽开销所需的信道资源。仿真结果表明,消除了分组丢失,并且显着减少了所需的无线电资源量。与建议的无需重传的Raptor感知型LA系统相比,基于自动重传请求(ARQ)的单播系统需要多达115.6%的信道资源。此外,与基于ARQ的系统相比,支持Raptor的LA系统可以将链路预算提高多达4 dB,增加LoS位置的覆盖范围,并且可以将总吞吐量提高46.7%。

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