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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

https://doi.org/10.1155/2007/84956

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

Abstract

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.

Keywords

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

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Authors’ Affiliations

(1)
Department of Information Technology, Lund University, P.O. Box 118, Lund, 22100, Sweden

References

  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, TurkeyGoogle 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 ArticleMATHGoogle 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.Google 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

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