截止日期感知多路径通信:一个优化问题

L. Chuat, A. Perrig, Yih-Chun Hu
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引用次数: 5

摘要

多路径通信不仅可以提高吞吐量,还可以用来利用不同的路径特性来最好地实现每个应用程序的目标。特别是,某些对延迟敏感的应用程序,如实时语音和视频通信,通常可以承受数据包丢失,并以最大吞吐量为目标,同时将延迟保持在合理水平。在这样的上下文中,一个困难的问题是确定沿着哪个路径传输或重传输数据。在本文中,我们将该问题表述为线性优化,展示了在多路径范式中可以获得的性能界限,并展示了路径多样性是提高网络性能的强大资产。我们还讨论了如何在实践中接近这些理论极限,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deadline-Aware Multipath Communication: An Optimization Problem
Multipath communication not only allows improved throughput but can also be used to leverage different path characteristics to best fulfill each application's objective. In particular, certain delay-sensitive applications, such as real-time voice and video communications, can usually withstand packet loss and aim to maximize throughput while keeping latency at a reasonable level. In such a context, one hard problem is to determine along which path the data should be transmitted or retransmitted. In this paper, we formulate this problem as a linear optimization, show bounds on the performance that can be obtained in a multipath paradigm, and show that path diversity is a strong asset for improving network performance. We also discuss how these theoretical limits can be approached in practice and present simulation results.
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