Title :
A game-theoretic approach to transmitter covariance matrix design for broadband MIMO Gaussian interference channels
Author :
Anandkumar, A.J.G. ; Lambotharan, S. ; Chambers, J.A.
Author_Institution :
Dept of Electron. & Electr. Eng., Loughborough Univ., Loughborough, UK
Abstract :
A game-theoretic approach to the maximization of the information rates of broadband multi-input-multi-output (MIMO) Gaussian interference channels is proposed. The problem is cast as a strategic noncooperative game with the MIMO links as players and the information rates as payoff functions. The Nash equilibrium solution of this game is a waterfilling operation and sufficient conditions for its existence and uniqueness are presented. A distributed algorithm which requires no cooperation among the users is presented along with conditions for guaranteed global convergence of the proposed algorithm. The efficacy of the proposed scheme is confirmed through a design example.
Keywords :
Gaussian channels; MIMO communication; broadband networks; convergence; covariance matrices; distributed algorithms; game theory; radio transmitters; radiofrequency interference; wireless channels; MIMO links; Nash equilibrium solution; broadband MIMO Gaussian interference channels; convergence; distributed algorithm; game-theoretic approach; information rates; multiinput-multioutput; payoff functions; strategic noncooperative game; transmitter covariance matrix design; waterfilling operation; Covariance matrix; Distributed algorithms; Frequency; Game theory; Information rates; Interference channels; MIMO; Nash equilibrium; Resource management; Transmitters; Game theory; Gaussian interference channel; Nash equilibrium; broadband MU-MIMO systems; waterfilling;
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
DOI :
10.1109/SSP.2009.5278580
