Performance of Crosstalk Cancellation in VDSL

Homer, J; Gujrathi, M; Cendrillon, R

Performance of Crosstalk Cancellation in VDSL

Homer, J Gujrathi, M Cendrillon, R

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Publication Type:: Conference
Issue Date:: 2007-03-12T22:05:31Z

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Field	Value	Language
dc.contributor.author	Homer, J	en_AU
dc.contributor.author	Gujrathi, M	en_AU
dc.contributor.author	Cendrillon, R	en_AU
dc.date.accessioned	2007-03-12T22:05:31Z
dc.date.accessioned	2012-12-15T02:29:29Z
dc.date.available	2007-03-12T22:05:31Z
dc.date.available	2012-12-15T02:29:29Z
dc.date.issued	2007-03-12T22:05:31Z
dc.identifier.uri	http://hdl.handle.net/10453/19571
dc.description.abstract	Crosstalk in DSL leads to significant performance degradation and large losses in data-rate. Several crosstalk cancellation techniques have been proposed to address this problem, however, in the existing literature the analysis of these approaches is based on SNR calculations and the SNR-gap approximation. Furthermore, for crosstalk cancellation techniques based on decision-feedback, the effect of error propagation is completely ignored. This makes it hard to predict the performance of crosstalk cancellation in real life, and to see if the significant potential gains can actually be realized. To address this problem, this paper uses Monte- Carlo simulation to investigate the performance of the various crosstalk cancellation techniques that have been proposed. The effect of noise-enhancement in zeroforcing crosstalk cancellers and error-propagation in decision-feedback cancellers is examined. The results confirm that a very simple crosstalk cancellation structure can achieve near-optimal performance	en_AU
dc.format.extent	42386 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en_AU
dc.relation.replaces	http://hdl.handle.net/2100/78
dc.title	Performance of Crosstalk Cancellation in VDSL	en_AU
dc.type	Conference
utslib.copyright.status	open_access

Abstract:

Crosstalk in DSL leads to significant performance degradation and large losses in data-rate. Several crosstalk cancellation techniques have been proposed to address this problem, however, in the existing literature the analysis of these approaches is based on SNR calculations and the SNR-gap approximation. Furthermore, for crosstalk cancellation techniques based on decision-feedback, the effect of error propagation is completely ignored. This makes it hard to predict the performance of crosstalk cancellation in real life, and to see if the significant potential gains can actually be realized. To address this problem, this paper uses Monte- Carlo simulation to investigate the performance of the various crosstalk cancellation techniques that have been proposed. The effect of noise-enhancement in zeroforcing crosstalk cancellers and error-propagation in decision-feedback cancellers is examined. The results confirm that a very simple crosstalk cancellation structure can achieve near-optimal performance

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http://hdl.handle.net/10453/19571