NDLI: Competitive design of multiuser MIMO interference systems based on game theory: A unified framework

Content Provider	IEEE Xplore Digital Library
Author	Scutari, G. Palomar, D.P. Barbarossa, S.
Copyright Year	2008
Description	Author affiliation: Dept. INFOCOM, Univ. of Rome "La Sapienza", Rome (Scutari, G.)
Abstract	In this paper we focus on the maximization of the information rates subject to transmit power constraints for noncooperative multiple-input multiple-output (MIMO) systems, using the same physical resources, i.e., time, bandwidth and space. To derive decentralized solutions that do not require any cooperation among the systems, the optimization problem is formulated as a static noncooperative game. The analysis of the game for arbitrary MIMO interference channels is quite involved, since it requires the study of a set of nonlinear nondifferentiable matrix-valued equations, based on the MIMO waterfilling solution. To overcome this difficulty, we provide a new interpretation of the waterfilling operator, for the general MIMO multiuser case, as a matrix projection. This key result allows us to simplify the study of the game and to obtain sufficient conditions for both uniqueness of the Nash equilibrium (NE) and convergence of the proposed totally asynchronous distributed algorithms. The proposed approach provides a general framework that encompasses all previous works, mostly concerned with the particular case of SISO Gaussian frequency-selective interference channel.
Starting Page	5376
Ending Page	5379
File Size	286808
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4518875
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO Game theory Interference channels Information rates Interference constraints Bandwidth Nonlinear equations Sufficient conditions Nash equilibrium Distributed algorithms Asynchronous iterative waterfilling Interference Channel Nash equilibria
Content Type	Text
Resource Type	Article

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