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Game Theory in Signal Processing and Communications
Technical University of Dresden, Germany .
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
University of Pisa, Italy.
Princeton University, USA.
2009 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 26, no 5Article in journal, Editorial material (Other academic) Published
Abstract [en]

Game theory is a branch of mathematics aimed at the modeling and understanding of resource conflict problems. Essentially, the theory splits into two branches: noncooperative and cooperative game theory. The distinction between the two is whether or not the players in the game can make joint decisions regarding the choice of strategy. Noncooperative game theory is closely connected to minimax optimization and typically results in the study of various equilibria, most notably the Nash equilibrium. Cooperative game theory examines how strictly rational (selfish) actors can benefit from voluntary cooperation by reaching bargaining agreements. Another distinction is between static and dynamic game theory, where the latter can be viewed as a combination of game theory and optimal control. In general, the theory provides a structured approach to many important problems arising in signal processing and communications, notably resource allocation and robust transceiver optimization. Recent applications also occur in other emerging fields, such as cognitive radio, spectrum sharing, and in multihop-sensor and adhoc networks.

Place, publisher, year, edition, pages
IEEE, 2009. Vol. 26, no 5
Keywords [en]
Game theory; Special issues and sections
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-53062DOI: 10.1109/MSP.2009.933610ISI: 000269442300003Scopus ID: 2-s2.0-70349171783OAI: oai:DiVA.org:liu-53062DiVA, id: diva2:286639
Note

©2010 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.: Eduard A. Jorswieck, Erik G. Larsson, Marco Luise and H. Vincent Poor, Game Theory in Signal Processing and Comminications, 2009, Signal Processing Magazine, IEEE http://dx.doi.org/10.1109/MSP.2009.933610

Available from: 2010-01-15 Created: 2010-01-15 Last updated: 2018-07-05Bibliographically approved

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Larsson, Erik G.

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