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Recursive and Non-Recursive Network Coding: Performance and Complexity

机译:递归和非递归网络编码:性能和复杂性

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While network coding promises to increase throughput, network nodes incur increased complexity as they are relied on to perform packet mixing. Previous works have proposed to manage network-level complexity by reducing the number of network coding transport nodes. Here, we study the tradeoff between transport-node complexity and achievable throughput rates. We compare two encoding schemes: recursive and non-recursive. We show that due to the peculiarities of network coding, non-recursive coding achieves considerably higher rates, for comparable computational and storage requirements. We also show that by replacing multiplication with shifting, complexity is further reduced, with negligible impact on performance.
机译:虽然网络编码承诺增加吞吐量,但网络节点会引起复杂性,因为它们依赖于执行数据包混合。以前的作品已经提出通过减少网络编码传输节点的数量来管理网络级复杂性。在这里,我们研究了运输节点复杂性和可实现的吞吐率之间的权衡。我们比较两个编码方案:递归和非递归。我们表明,由于网络编码的特点,非递归编码实现了更高的速率,可用于可比计算和存储要求。我们还表明,通过用换档取代乘法,复杂性进一步减少,对性能的影响忽略不计。

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