JOURNAL ARTICLE

Dynamic spectrum management for next-generation DSL systems

Kee Bong SongSeong Taek ChungG. GinisJ.M. Cioffi

Year: 2002 Journal:   IEEE Communications Magazine Vol: 40 (10)Pages: 101-109   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The performance of DSL systems is severely constrained by crosstalk due to the electromagnetic coupling among the multiple twisted pairs making up a phone cable. In order to reduce performance loss arising from crosstalk, DSL systems are currently designed under the assumption of worst-case crosstalk scenarios leading to overly conservative DSL deployments. This article presents a new paradigm for DSL system design, which takes into account the multi-user aspects of the DSL transmission environment. Dynamic spectrum management (DSM) departs from the current design philosophy by enabling transceivers to autonomously and dynamically optimize their communication settings with respect to both the channel and the transmissions of neighboring systems. Along with this distributed optimization, when an additional degree of coordination becomes available for future DSL deployment, DSM will allow even greater improvement in DSL performance. Implementations are readily applicable without causing any performance degradation to the existing DSLs under static spectrum management. After providing an overview of the DSM concept, this article reviews two practical DSM methods: iterative water-filling, an autonomous distributed power control method enabling great improvement in performance, which can be implemented through software options in some existing ADSL and VDSL systems; and vectored-DMT, a coordinated transmission/reception technique achieving crosstalk-free communication for DSL systems, which brings within reach the dream of providing universal Internet access at speeds close to 100 Mb/s to 500 m on 1-2 lines and beyond 1 km on 2-4 lines. DSM-capable DSL thus enables the broadband age.

Keywords:
Digital subscriber line Computer science Twisted pair Spectrum management Computer network Distributed computing Cognitive radio Telecommunications Wireless

Metrics

169
Cited By
6.89
FWCI (Field Weighted Citation Impact)
9
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Power Line Communications and Noise
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Electromagnetic Compatibility and Noise Suppression
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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