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  • Research Article
  • Open Access

Analysis of Adaptive Interference Cancellation Using Common-Mode Information in Wireline Communications

EURASIP Journal on Advances in Signal Processing20072007:084956

  • Received: 4 September 2006
  • Accepted: 1 June 2007
  • Published:


Joint processing of common-mode (CM) and differential-mode (DM) signals in wireline transmission can yield significant improvements in terms of throughput compared to using only the DM signal. Recent work proposed the employment of an adaptive CM-reference-based interference canceller and reported performance improvements based on simulation results. This paper presents a thorough investigation of the cancellation approach. A subchannel model of the CM-aided wireline channel is presented and the Wiener solutions for different adaptation strategies are derived. It is shown that a canceller, whose coefficients are adapted while the far-end transmitter is silent, yields a signal-to-noise power ratio (SNR) that is higher than the SNR at the DM channel output for a large class of practically relevant cases. Adaptation while the useful far-end signal is present yields a front-end whose output SNR is considerably lower compared to the SNR of the DM channel output. The results are illustrated by simulations based on channel measurement data.


  • Information Technology
  • Measurement Data
  • Performance Improvement
  • Large Class
  • Quantum Information

Authors’ Affiliations

Department of Information Technology, Lund University, P.O. Box 118, Lund, 22100, Sweden


  1. Bell AG: Improvement in telegraphy. Letters Patent no. 174,465, dated March, application filed February, 1876Google Scholar
  2. Chen WY: DSL: Simulation Techniques and Standards Development for Digital Subscriber Line Systems. Macmillan Technical, Indianapolis, Ind, USA; 1998.Google Scholar
  3. Magesacher T, Ödling P, Börjesson PO, Shamai S: Information rate bounds in common-mode aided wireline communications. European Transactions on Telecommunications 2006,17(5):533-545. 10.1002/ett.1071View ArticleGoogle Scholar
  4. Magesacher T, Ödling P, Börjesson PO, et al.: On the capacity of the copper cable channel using the common mode. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '02), November 2002, Taipei, Taiwan 2: 1269–1273.Google Scholar
  5. Magesacher T, Ödling P, Börjesson PO: Adaptive interference cancellation using common-mode information in DSL. Proceedings of the 13th European Signal Processing Conference (EUSIPCO '05), September 2005, Antalya, TurkeyMATHGoogle Scholar
  6. Yeap TH, Fenton DK, Lefebvre PD: A novel common-mode noise cancellation technique for VDSL applications. IEEE Transactions on Instrumentation and Measurement 2003,52(4):1325-1334. 10.1109/TIM.2003.816850View ArticleGoogle Scholar
  7. Kamkar-Parsi AH, Bouchard M, Bessens G, Yeap TH: A wideband crosstalk canceller for xDSL using common-mode information. IEEE Transactions on Communications 2005,53(2):238-242. 10.1109/TCOMM.2004.841981View ArticleGoogle Scholar
  8. ETSI TM6 : Transmission and multiplexing (TM); access transmission systems on metallic access cables; very high speed digital subscriber line (VDSL)—Part 1: functional requirements. TS 101 270-1, Version 1.1.6, August 1999Google Scholar
  9. Magesacher T, Henkel W, Tauböck G, Nordström T: Cable measurements supporting xDSL technologies. Journal e&i Elektrotechnik und Informationstechnik 2002,199(2):37-43.View ArticleGoogle Scholar
  10. ANSI T1E1.4 : Very-high-bit-rate digital subscriber line (VDSL) metallic interface—part 1: functional requirement and common specification. T1E1.4/2000-009R3, February 2001Google Scholar
  11. Kay SM: Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Upper Saddle River, NJ, USA; 1993.MATHGoogle Scholar
  12. Cover TM, Thomas JA: Elements of Information Theory. John Wiley & Sons, New York, NY, USA; 1991.View ArticleGoogle Scholar
  13. Song KB, Chung ST, Ginis G, Cioffi JM: Dynamic spectrum management for next-generation DSL systems. IEEE Communications Magazine 2002,40(10):101-109. 10.1109/MCOM.2002.1039864View ArticleGoogle Scholar
  14. Haykin S: Adaptive Filter Theory. 3rd edition. Prentice-Hall, Upper Saddle River, NJ, USA; 1996.MATHGoogle Scholar
  15. Schelstraete S: Defining upstream power backoff for VDSL. IEEE Journal on Selected Areas in Communications 2002,20(5):1064-1074. 10.1109/JSAC.2002.1007387View ArticleGoogle Scholar


© Thomas Magesacher et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.