Game theory in signal processing and communications [From the Guest Editors]

Eduard A. Jorswieck, Erik G. Larsson, Marco Luise, H. Vincent Poor

Research output: Contribution to journalEditorialpeer-review

38 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)17+132
JournalIEEE Signal Processing Magazine
Volume26
Issue number5
DOIs
StatePublished - Jan 1 2009

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • Game theory
  • Special issues and sections

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