基于先验知识的无线网络干扰抑制

Kejing Liu, S. Bohacek, J. Garcia-Frías
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引用次数: 2

摘要

我们提出了一种减少高数据速率移动无线网络干扰的框架。在无线网络中,干扰是实现高数据速率的根本障碍。然而,在多跳网络路由的背景下,还没有一个系统的方法来处理这个问题。在传统的解码方案中,干扰被假设为加性高斯白噪声(AWGN),尽管在许多情况下它实际上与先前的可用数据相关。因此,为了优化性能,有必要在解码过程中利用这种相关性。这是通过将问题解释为具有先验信息的多个访问通道上的传输问题来实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interference Mitigating in Wireless Networks Using Prior Knowledge
We propose a framework to mitigate the interference in high data rate mobile wireless networking. Interference is a fundamental obstacle to achieve high data rates in wireless networking. However, a systematic approach to deal with this problem has not yet been addressed in the context of routing in multi-hop networks. In traditional decoding schemes, interference is assumed as additive white Gaussian noise (AWGN), even though in many occasions it is in fact correlated with previous available data. Thus, in order to optimize performance, it is necessary to exploit such correlation in the decoding process. This is done by interpreting the problem as one of transmission over multiple access channels with a priori information.
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