Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset

This paper considers the competitive maximization of information rates in the Gaussian frequency-selective interference channel, subject to global power and spectral mask constraints. We focus on the practical case in which the transmission by the different users contains time and frequency synchron...

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Published in:2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Vol. 4; pp. IV-1325 - IV-1328
Main Authors: Scutari, G., Palomar, D. P., Barbarossa, S.
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2007
Subjects:
Convergence
Density measurement
Distributed algorithms
Frequency synchronization
game theory
Gaussian frequency-selective interference channel
Information rates
Interference channels
Interference constraints
Iterative algorithms
iterative waterfilling algorithm
Nash equilibrium
Power measurement
totally asynchronous algorithm
Wideband
ISBN:9781424407279, 1424407273
ISSN:1520-6149
Online Access:Get full text
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Abstract This paper considers the competitive maximization of information rates in the Gaussian frequency-selective interference channel, subject to global power and spectral mask constraints. We focus on the practical case in which the transmission by the different users contains time and frequency synchronization offsets. We propose a unified framework based on a distributed algorithm called asynchronous iterative waterfilling algorithm. In this algorithm, the users update their power spectral density in a completely distributed and asynchronous way: some users may update their power allocation more frequently than others and they may even use outdated measurements of the received interference. Moreover the users are not required to know time and frequency offsets. Our main contribution is to provide a unified set of convergence conditions for the whole class of algorithms obtained from the asynchronous iterative waterfilling algorithm.
AbstractList This paper considers the competitive maximization of information rates in the Gaussian frequency-selective interference channel, subject to global power and spectral mask constraints. We focus on the practical case in which the transmission by the different users contains time and frequency synchronization offsets. We propose a unified framework based on a distributed algorithm called asynchronous iterative waterfilling algorithm. In this algorithm, the users update their power spectral density in a completely distributed and asynchronous way: some users may update their power allocation more frequently than others and they may even use outdated measurements of the received interference. Moreover the users are not required to know time and frequency offsets. Our main contribution is to provide a unified set of convergence conditions for the whole class of algorithms obtained from the asynchronous iterative waterfilling algorithm.
Author Scutari, G.
Barbarossa, S.
Palomar, D. P.
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  givenname: S.
  surname: Barbarossa
  fullname: Barbarossa, S.
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Snippet This paper considers the competitive maximization of information rates in the Gaussian frequency-selective interference channel, subject to global power and...
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StartPage IV-1325
SubjectTerms Convergence
Density measurement
Distributed algorithms
Frequency synchronization
game theory
Gaussian frequency-selective interference channel
Information rates
Interference channels
Interference constraints
Iterative algorithms
iterative waterfilling algorithm
Nash equilibrium
Power measurement
totally asynchronous algorithm
Wideband
Title Distributed Totally Asynchronous Iterative Waterfilling for Wideband Interference Channel with Time/Frequency Offset
URI https://ieeexplore.ieee.org/document/4218353
Volume 4
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