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Game Theory in Signal Processing and Communications

  1. Cooperative transmission has been proposed as a novel transmission strategy that takes advantage of broadcast nature of wireless networks, forms virtual MIMO system, and provides diversity gains. In this paper...

    Authors: Zhu Han, Guan-Ming Su, Haohong Wang, Song Ci and Weifeng Su
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:980304
  2. Cooperative diversity protocols are designed with the assumption that terminals always help each other in a socially efficient manner. This assumption may not be valid in commercial wireless networks where ter...

    Authors: Sintayehu Dehnie and Nasir Memon
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:927140
  3. We examine the MISO interference channel under cooperative bargaining theory. Bargaining approaches such as the Nash and Kalai-Smorodinsky solutions have previously been used in wireless networks to strike a b...

    Authors: Matthew Nokleby and A. Lee Swindlehurst
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:368547
  4. In this paper, transmission over a wireless channel is interpreted as a two-person zero-sum game, where the transmitter gambles against an unpredictable channel, controlled by nature. Mutual information is use...

    Authors: Rudolf Mathar and Anke Schmeink
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:823513
  5. The interaction of two transmit-receive pairs coexisting in the same area and communicating using the same portion of the spectrum is analyzed from a game theoretic perspective. Each pair utilizes a decentrali...

    Authors: Peter von Wrycza, M. R. Bhavani Shankar, Mats Bengtsson and Björn Ottersten
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:354890
  6. Interactions among selfish users sharing a common transmission channel can be modeled as a noncooperative game using the game theory framework. When selfish users choose their transmission probabilities indepe...

    Authors: Jaeok Park and Mihaela van der Schaar
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:305978
  7. This study discusses how to adjust "monetary budget" to meet each user's physical power demand, or balance all individual utilities in a competitive "spectrum market" of a communication system. In the market, ...

    Authors: Ming-Hua Lin, Jung-Fa Tsai and Yinyu Ye
    Citation: EURASIP Journal on Advances in Signal Processing 2009 2009:963717