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On Improving the Balance between the Completion Time and Decoding Delay in Instantly Decodable Network Coded Systems

机译:关于改善完成时间与解码延迟之间平衡的思考   在即时可解码的网络编码系统中

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摘要

This paper studies the complicated interplay of the completion time (as ameasure of throughput) and the decoding delay performance in instantlydecodable network coded (IDNC) systems over wireless broadcast erasure channelswith memory, and proposes two new algorithms that improve the balance betweenthe completion time and decoding delay of broadcasting a block of packets. Wefirst formulate the IDNC packet selection problem that provides joint controlof the completion time and decoding delay as a statistical shortest path (SSP)problem. However, since finding the optimal packet selection policy using theSSP technique is computationally complex, we employ its geometric structure tofind some guidelines and use them to propose two heuristic packet selectionalgorithms that can efficiently improve the balance between the completion timeand decoding delay for broadcast erasure channels with a wide range of memoryconditions. It is shown that each one of the two proposed algorithms issuperior for a specific range of memory conditions. Furthermore, we show thatthe proposed algorithms achieve an improved fairness in terms of the decodingdelay across all receivers.
机译:本文研究了带有存储器的无线广播擦除信道上可立即解码的网络编码(IDNC)系统中完成时间(作为吞吐量度量)与解码延迟性能之间复杂的相互作用,并提出了两种新的算法来改善完成时间与解码之间的平衡广播一个数据包块的延迟。我们首先提出IDNC数据包选择问题,该问题提供对完成时间和解码延迟的联合控制,作为统计最短路径(SSP)问题。但是,由于使用SSP技术找到最佳的数据包选择策略在计算上很复杂,因此我们采用其几何结构来找到一些准则,并使用它们来提出两种启发式数据包选择算法,这些算法可以有效地改善广播擦除信道的完成时间和解码延迟之间的平衡。各种各样的记忆条件。结果表明,在特定范围的存储条件下,两种算法的优越性更高。此外,我们表明,所提出的算法在所有接收器的解码延迟方面实现了改进的公平性。

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