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Fair greening for DSL broadband access

Published:27 March 2010Publication History
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Abstract

Given that broadband access networks are an integral part of the ICT infrastructure and that DSL is the most widely deployed broadband access technology, greening DSL has become important. Our recent work demonstrated a promising tradeoff between data rate performance and energy conservation. However, more greening still implies possibly lower data rate, and allocating this "price of greening" across interfering users needs to be fair. This paper proposes four for- mulations of fair greening in interference-limited networks, unifies them into one general representation, and develops a unified algorithm to solve them effectively. Simulations quantify the intuitions on fairness in greening DSL, as these four alternative approaches offer a range of choices between maintaining a high sum data rate and enforcing various definitions of fairness. Fairness of allocating the price of greening is also interesting in its own right.

References

  1. R. Cendrillon, J. Huang, M. Chiang, and M. Moonen. Autonomous spectrum balancing for digital subscriber lines. IEEE Trans. on Signal Processing, 55(8):4241--4257, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. R. Cendrillon, W. Yu, M. Moonen, J. Verlinden, and T. Bostoen. Optimal multiuser spectrum balancing for digital subscriber lines. IEEE Trans. Communications, 54(5):922--933, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  3. R. Lui and W. Yu. Low-complexity near-optimal spectrum balancing for digital subscriber lines. In Proceedings of IEEE ICC, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  4. Z. Q. Luo and S. Zhang. Dynamic spectrum management: Complexity and duality. IEEE Journal of Selected Topics in Signal Processing, 2(1):57--73, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  5. E. C. D. J. Paolo Bertoldi. European code of conduct for broadband equipment. Internet: http://www.itu.int/dms_pub/itu-t/oth/09/05/T09050000010004PDFE.pdf, 2008.Google ScholarGoogle Scholar
  6. J. Papandriopoulos and J. S. Evans. Low-complexity distributed algorithms for spectrum balancing in multi-user DSL networks. In Proceedings of IEEE ICC, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  7. T. Starr, J. M. Cioffi, and P. J. Silverman. Understanding digital subscriber lines. Prentice Hall, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. P. Tsiaflakis, M. Diehl, and M. Moonen. Distributed spectrum management algorithms for multi-user DSL networks. IEEE Trans. on Signal Processing, 56(10):4825--4843, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. P. Tsiaflakis, Y. Yi, M. Chiang, and M. Moonen. Green DSL: Energy-efficient DSM. In Proceedings of IEEE ICC, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. W. Yu and R. Lui. Dual methods for nonconvex spectrum optimization of multicarrier systems. IEEE Trans. on Communications, 54(7), July 2006.Google ScholarGoogle Scholar
  11. M. Wolkerstorfer, D. Statovci, and T. Nordstrm. Dynamic spectrum management for energy-efficient transmission in DSL. In Proceedings of ICCS (International Conference on Communications Systems), 2008.Google ScholarGoogle ScholarCross RefCross Ref
  12. W. Yu, G. Ginis, and J. Cioffi. Distributed multiuser power control for digital subscriber lines. IEEE J. Sel. Area. Comm., 20(5):1105--1115, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library

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              cover image ACM SIGMETRICS Performance Evaluation Review
              ACM SIGMETRICS Performance Evaluation Review  Volume 37, Issue 4
              March 2010
              87 pages
              ISSN:0163-5999
              DOI:10.1145/1773394
              Issue’s Table of Contents

              Copyright © 2010 Authors

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 27 March 2010

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