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Efficiency of rate-maximization game under bounded channel uncertainty

Anandkumar, Amod J. G. and Anandkumar, Animashree and Lambotharan, Sangarapillai and Chambers, Jonathon (2010) Efficiency of rate-maximization game under bounded channel uncertainty. In: 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers. IEEE , Piscataway, NJ, pp. 482-486. ISBN 978-1-4244-9722-5. https://resolver.caltech.edu/CaltechAUTHORS:20170922-134024046

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Abstract

The problem of competitive rate-maximization is an important signal-processing problem for power-constrained multi-user systems. It involves solving the power control problem for mutually interfering users operating across multiple frequencies. We introduced robust rate-maximization game for systems with bounded channel uncertainty. In this paper, we analyse the effect of uncertainty on the global efficiency of the robust rate-maximization game. For a two-user scenario with large number of frequencies, we show that the robust-optimization equilibrium tends to move towards FDMA solution as the uncertainty bound increases and thus increases the sum-rate for interference-constrained systems where FDMA is Pareto-optimal. These results are verified through simulations.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ACSSC.2010.5757605DOIArticle
http://ieeexplore.ieee.org/document/5757605PublisherArticle
Additional Information:© 2010 IEEE.
Record Number:CaltechAUTHORS:20170922-134024046
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170922-134024046
Official Citation:A. J. G. Anandkumar, A. Anandkumar, S. Lambotharan and J. Chambers, "Efficiency of rate-maximization game under bounded channel uncertainty," 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2010, pp. 482-486. doi: 10.1109/ACSSC.2010.5757605 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5757605&isnumber=5757211
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:81752
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:22 Sep 2017 20:49
Last Modified:03 Oct 2019 18:46

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