Skip to main content

Advertisement

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

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.

References

  1. 1.

    Bell AG: Improvement in telegraphy. Letters Patent no. 174,465, dated March, application filed February, 1876

  2. 2.

    Chen WY: DSL: Simulation Techniques and Standards Development for Digital Subscriber Line Systems. Macmillan Technical, Indianapolis, Ind, USA; 1998.

  3. 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.1071

  4. 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.

  5. 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, Turkey

  6. 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.2003.816850

  7. 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.2004.841981

  8. 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 1999

  9. 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.

  10. 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 2001

  11. 11.

    Kay SM: Fundamentals of Statistical Signal Processing: Estimation Theory. Prentice-Hall, Upper Saddle River, NJ, USA; 1993.

  12. 12.

    Cover TM, Thomas JA: Elements of Information Theory. John Wiley & Sons, New York, NY, USA; 1991.

  13. 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.2002.1039864

  14. 14.

    Haykin S: Adaptive Filter Theory. 3rd edition. Prentice-Hall, Upper Saddle River, NJ, USA; 1996.

  15. 15.

    Schelstraete S: Defining upstream power backoff for VDSL. IEEE Journal on Selected Areas in Communications 2002,20(5):1064-1074. 10.1109/JSAC.2002.1007387

Download references

Author information

Correspondence to Thomas Magesacher.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://doi.org/creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Keywords

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