Autonomous Spectrum Balancing (ASB) for frequency selective interference channels

Jianwei Huang; Raphael Cendrillon; Mung Chiang; Marc Moonen

doi:10.1109/ISIT.2006.261857

Autonomous Spectrum Balancing (ASB) for frequency selective interference channels

Jianwei Huang, Raphael Cendrillon, Mung Chiang, Marc Moonen

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 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 language	English (US)
Title of host publication	Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
Pages	610-614
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2006.261857
State	Published - 2006
Event	2006 IEEE International Symposium on Information Theory, ISIT 2006 - Seattle, WA, United States Duration: Jul 9 2006 → Jul 14 2006

Publication series

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

Other

Other	2006 IEEE International Symposium on Information Theory, ISIT 2006
Country/Territory	United States
City	Seattle, WA
Period	7/9/06 → 7/14/06

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2006.261857

Cite this

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title = "Autonomous Spectrum Balancing (ASB) for frequency selective interference channels",

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.",

author = "Jianwei Huang and Raphael Cendrillon and Mung Chiang and Marc Moonen",

year = "2006",

doi = "10.1109/ISIT.2006.261857",

language = "English (US)",

isbn = "1424405041",

series = "IEEE International Symposium on Information Theory - Proceedings",

pages = "610--614",

booktitle = "Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006",

note = "2006 IEEE International Symposium on Information Theory, ISIT 2006 ; Conference date: 09-07-2006 Through 14-07-2006",

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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., 4036035, IEEE International Symposium on Information Theory - Proceedings, pp. 610-614, 2006 IEEE International Symposium on Information Theory, ISIT 2006, Seattle, WA, United States, 7/9/06. https://doi.org/10.1109/ISIT.2006.261857

Autonomous Spectrum Balancing (ASB) for frequency selective interference channels. / Huang, Jianwei; Cendrillon, Raphael; Chiang, Mung et al.
Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006. 2006. p. 610-614 4036035 (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Huang, Jianwei

AU - Cendrillon, Raphael

AU - Chiang, Mung

AU - Moonen, Marc

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N2 - 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.

AB - 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.

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Autonomous Spectrum Balancing (ASB) for frequency selective interference channels

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All Science Journal Classification (ASJC) codes

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