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Cited by 359

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Optimal multiuser spectrum balancing for digital subscriber lines

Cendrillon, R., Wei Yu, Moonen, M., Verlinden, J., Bostoen, T.·2006·IEEE Transactions on Communications

Abstract

Crosstalk is a major issue in modern digital subscriber line (DSL) systems such as ADSL and VDSL. Static spectrum management, which is the traditional way of ensuring spectral compatibility, employs spectral masks that can be overly conservative and lead to poor performance. This paper presents a centralized algorithm for optimal spectrum balancing in DSL. The algorithm uses the dual decomposition method to optimize spectra in an efficient and computationally tractable way. The algorithm shows significant performance gains over existing dynamics spectrum management (DSM) techniques, e.g., in one of the cases studied, the proposed centralized algorithm leads to a factor-of-four increase in data rate over the distributed DSM algorithm iterative waterfilling.

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Metadata

Authors
Cendrillon, R., Yu, W., Moonen, M., Verlinden, J., & Bostoen, T.
Venue
IEEE Transactions on Communications
Published
2006-05
Volume
54
Issue
5
Pages
922-933
ISSN
0090-6778 (ISSN-L)
OpenAlex
W2110391887
Cited by
359
References
0
FWCI
39.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Optimal multiuser spectrum balancing for digital subscriber lines. https://app.cochat.ai/papers/10.1109/tcomm.2006.873096
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Cendrillon, R., Yu, W., Moonen, M., Verlinden, J., & Bostoen, T. (2006). Optimal multiuser spectrum balancing for digital subscriber lines. IEEE Transactions on Communications. https://doi.org/10.1109/tcomm.2006.873096

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.