Signal Processing Computationally efficient joint partial crosstalk cancellation and multi-user power control algorithm in xDSL networks

M. Maesoumi, M. Masnadi-Shirazi, M. Dousti
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引用次数: 3

Abstract

Far-end crosstalk (FEXT) is the major limitation to achieve high data rates in very high bit rate digital subscriber line (VDSL) systems. Full crosstalk cancellation (FCC) techniques have been proposed to mitigate the effect of crosstalk. However, these are too complex for application in typical VDSL binders. Considering the fact that there are only a few strongest cross-talkers that contribute to main part of crosstalk, the crosstalk cancellation can be simplified to line selection (LS), tone selection (TS) and joint line-tone selection (JLTS) partial crosstalk cancellation (PCC). These all result in much less online complexity. In this paper, first, we propose a new modified JLTS algorithm with significantly lower initialisation complexity than the optimal JLTS (OJLTS) algorithm and approximately with similar performance. Then a novel joint algorithm is presented that combines the multi-user power control technique with the PCC scheme to achieve near the capacity rates. We also consider dynamic online complexity constraint for each user. This joint algorithm leads to a much larger online complexity reduction (around 60% for long lines) and higher data rates at the expense of slightly higher initialisation complexity. The performance of the proposed algorithm is verified by some simulation results and compared with current algorithms that use flat power spectral densities (PSDs) and other existing joint algorithms. Copyright © 2009 John Wiley & Sons, Ltd.
信号处理xDSL网络中计算效率高的联合部分串扰消除和多用户功率控制算法
远端串扰(ext)是在非常高比特率数字用户线路(VDSL)系统中实现高数据速率的主要限制。为了减轻串扰的影响,人们提出了全串扰消除技术。然而,这些对于典型的VDSL绑定来说太复杂了。考虑到只有少数几个最强的相声者构成了串声的主体部分,串声对消可以简化为线路选择(LS)、音调选择(TS)和联合线路选择(JLTS)部分相声对消(PCC)。这些都大大降低了在线的复杂性。本文首先提出了一种新的改进的JLTS算法,该算法的初始化复杂度明显低于最优JLTS (OJLTS)算法,并且具有近似的性能。在此基础上,提出了一种将多用户功率控制技术与PCC方案相结合的新型联合算法,以达到接近容量率的目的。我们还考虑了每个用户的动态在线复杂性约束。这种联合算法导致更大的在线复杂性降低(对于长行大约60%)和更高的数据速率,但代价是初始化复杂性略高。仿真结果验证了该算法的性能,并将其与当前使用平坦功率谱密度(psd)的算法和其他已有的联合算法进行了比较。版权所有©2009 John Wiley & Sons, Ltd
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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