NDLI: Performance of Generalized Regression Neural Network-based channel estimation in Vectored DSL systems

Content Provider	IEEE Xplore Digital Library
Author	Huberman, S. Tho Le-Ngoc
Copyright Year	2012
Description	Author affiliation: Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada (Huberman, S.; Tho Le-Ngoc)
Abstract	It is well-known that Vectored Digital Subscriber Line (DSL) transmission promises significant theoretical data-rate increases for DSL technology; however, Vectored DSL requires full knowledge of the channel. The effectiveness of Vectored DSL transmission in a practical setting, where channel knowledge is subject to error, has yet to be determined. This paper proposes a Generalized Regression Neural Network (GRNN)-based approach to DSL channel estimation by interpolating between a subset of measured or estimated data-points. Furthermore, closed-form expressions for the effect of channel estimation error on he achievable Vectored DSL data-rate are derived, using a Zero-Forcing (ZF) interference canceller for upstream transmission and a Diagonalizing Pre-coder (DP) for downstream transmission. Finally, simulation results are provided to demonstrate the performance loss associated with channel estimation error for Vectored DSL transmission, based on the ANN approach and a linear regression approach.
Sponsorship	IEEE Montreal Sect.
Starting Page	1
Ending Page	5
File Size	982990
Page Count	5
File Format	PDF
ISBN	9781467314312
ISSN	08407789
e-ISBN	9781467314336
e-ISBN	9781467314329
DOI	10.1109/CCECE.2012.6334880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Computers Generalized Regression Neural Network Digital Subscriber Line (DSL) Vectored DSL Channel Estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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