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Relaying a Fountain code across multiple nodes

机译:跨多个节点中继喷泉代码

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Fountain codes are designed for erasure channels, and are particularly well suited for broadcast applications from a single source to its one hop receivers. In this context, the problem of designing a rateless code in the network case for on-the-fly recoding is very important, as relaying the data over multiple nodes is fundamentally useful in a network. Clearly, fountain codes are unsuited for on-line recoding (and simply forwarding over subsequent hops is provably suboptimal). Random linear codes are throughput optimal, but they do not enjoy the low complexity that is a prime feature of fountain codes. Can we get the low complexity of say, LT codes, while maintaining on-the-fly recoding and being throughput optimal? This paper proposes a novel solution to the above question. We consider packet level coding on a line network of discrete memoryless erasure channels (with potentially unlimited nodes), and exhibhit a coding scheme with (1) Ratelessness (2) Logarithmic per-symbol coding complexity (3) Throughput optimality (achieves rates equal the min cut capacity) and (4) avoids the delay of having to decode and then re-encode entire block lengths at intermediate nodes.
机译:喷泉代码专为擦除通道而设计,特别适用于从单个源到一个跳跃接收器的广播应用程序。在这种情况下,在飞行上重新编码的网络壳体中设计一种不多基本代码的问题非常重要,因为在多个节点上的中继数据在网络中基本上有用。显然,喷泉代码不合适用于在线重新编码(并且只需在后续跳过上转发即可被认为是次优的)。随机线性代码是吞吐量最佳,但它们不享受诸如喷泉代码的主要特征的低复杂性。我们可以获得LT代码的低复杂性,同时维持飞行的重新编码和吞吐量最佳吗?本文提出了对上述问题的新解决方案。我们考虑在离散的无记忆擦除通道(具有潜在无限节点)的线路上编码的数据包级别编码,并用(1)没有(1)无数(2)对数为单符号编码复杂度(3)吞吐量最优性(实现率等于MIN CUT容量)和(4)避免了必须在中间节点处重新编码整个块长度的延迟。

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