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Game Theory and the Flat-Fading Gaussian Interference Channel: Analyzing Resource Conflicts in Wireless Networks
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
Dresden Unoversity of Technology.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Dresden University of Technology.
2009 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 26, no 5, 18-27 p.Article in journal (Refereed) Published
Abstract [en]

In this article, we described some basic concepts from noncooperative and cooperative game theory and illustrated them by three examples using the interference channel model, namely, the power allocation game for SISO IFC, the beamforming game for MISO IFC, and the transmit covariance game for MIMO IFC. In noncooperative game theory, we restricted ourselves to discuss the NE and PoA and their interpretations in the context of our application. Extensions to other noncooperative approaches include Stackelberg equilibria and the corresponding question "Who will go first?" We also correlated equilibria where a certain type of common randomness can be exploited to increase the utility region. We leave the large area of coalitional game theory open.

Place, publisher, year, edition, pages
2009. Vol. 26, no 5, 18-27 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21995DOI: 10.1109/MSP.2009.933370OAI: oai:DiVA.org:liu-21995DiVA: diva2:242280
Note
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Erik G. Larsson, Eduard A. Jorswieck, Johannes Lindblom and Rami Mochaourab, Game Theory and the Flat-Fading Gaussian Interference Channel: Analyzing Resource Conflicts in Wireless Networks, 2009, IEEE signal processing magazine (Print), (26), 5, 18-27. http://dx.doi.org/10.1109/MSP.2009.933370 Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2017-12-13

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Larsson, Erik G.Lindblom, Johannes

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