Autonomous Spectrum Balancing (ASB) for frequency selective interference channels

Jianwei Huang, Raphael Cendrillon, Mung Chiang, Marc Moonen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

For frequency selective interference channels where interference is treated as noise, distributively attaining the boundary of the rate region is an open problem, and is particularly important for broadband DSL access. This paper develops, analyzes, and simulates a new algorithm for power allocation in frequency selective interference channels called Autonomous Spectrum Balancing (ASB). It utilizes the concept of a "reference line", which mimics a typical victim line in the interference channel. Compared with the state-of-the-art Iterative Watefilling and Optimum Spectrum Balancing methods, the ASB algorithm is completely autonomous, has linear complexity in both the number of users and tones, and gives close to near-optimal performance. Convergence of a version of ASB is proven for any number of users.

Original languageEnglish (US)
Title of host publicationProceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
Pages610-614
Number of pages5
DOIs
StatePublished - Dec 1 2006
Event2006 IEEE International Symposium on Information Theory, ISIT 2006 - Seattle, WA, United States
Duration: Jul 9 2006Jul 14 2006

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8101

Other

Other2006 IEEE International Symposium on Information Theory, ISIT 2006
CountryUnited States
CitySeattle, WA
Period7/9/067/14/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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    Huang, J., Cendrillon, R., Chiang, M., & Moonen, M. (2006). Autonomous Spectrum Balancing (ASB) for frequency selective interference channels. In Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006 (pp. 610-614). [4036035] (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2006.261857