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A Practical Implementation of Fountain Codes over WiMAX Networks with an Optimised Probabilistic Degree Distribution

机译:具有优化概率程度分布的WiMAX网络的喷泉代码的实际实施

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Recently, rateless codes have attracted much attention in the communications research community. The most well known being Luby transform codes, were the first practical realisation of record-breaking sparse-graph codes for binary erasure channels. These codes have the advantage of not requiring a priori knowledge of specific channel conditions and lends itself to application in nondeterministic wireless networks. This paper revisits the Luby transform fountain code, predecessor of the well known Raptor codes, and proposes a novel parameterised probabilistic degree distribution, which is used in the encoding process, along with the belief propagation decoding algorithm. By combining piecewise-defined convex functions and running a non-symmetric Kullback-Leibler divergence measure between the expected and actual degree distributions, we optimise our degree distribution and substantiate a significant reduction in reception overhead and symbol operations. This will support such forward error correction codes in efficient multimedia communication systems. Our proposition was implemented over a WiMAX network and the practical results obtained indicate that a few conditions are sufficient to define an optimal encoding process.
机译:最近,无规模的代码在通信研究界引起了很多关注。最着名的借调转换代码是第一次实际实现二进制擦除通道的断开稀疏图形码。这些代码具有不需要先验的特定信道条件的先验知识并将其自身用于非法的无线网络中的应用。本文重新拟订了众所周知的猛禽代码的前身,并提出了一种新的参数化概率程度分布,其用于编码过程,以及信仰传播解码算法。通过组合分段定义的凸起功能并在预期和实际程度分布之间运行非对称的Kullback-Leibler发散测量,我们优化了我们的程度分布并证实了接收开销和符号操作的显着减少。这将支持高效的多媒体通信系统中的前向纠错码。我们的命题在WiMAX网络上实施,获得的实际结果表明,一些条件足以定义最佳编码过程。

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