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Game Theory and the Flat-Fading Gaussian Interference Channel: Analyzing Resource Conflicts in Wireless Networks
Linköping University, Sweden.
Dresden University of Technology, Germany.
Linköping University, Sweden.
Dresden University of Technology, Germany.ORCID iD: 0000-0003-0995-9835
2009 (English)In: IEEE signal processing magazine (Print), Vol. 26, no 5, p. 18-27Article 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, p. 18-27
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:ri:diva-55555DOI: 10.1109/MSP.2009.933370OAI: oai:DiVA.org:ri-55555DiVA, id: diva2:1582714
Available from: 2021-08-03 Created: 2021-08-03 Last updated: 2023-06-07Bibliographically approved

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Mochaourab, Rami

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