Convex Optimization
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optimized signaling for MIMO interference systems with feedback
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Iterative water-filling for Gaussian vector multiple-access channels
IEEE Transactions on Information Theory
Competition Versus Cooperation on the MISO Interference Channel
IEEE Journal on Selected Areas in Communications
Cooperative Game Theory and the Gaussian Interference Channel
IEEE Journal on Selected Areas in Communications
Cooperative resource allocation games under spectral mask and total power constraints
IEEE Transactions on Signal Processing
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In this paper, the source covariance matrices of multiple-input multiple-output (MIMO) interference channels (IFCs) are investigated from a game-theoretic perspective. It is proved that the requirement of sufficiently small interference-to-noise ratio (INR) is the sufficient condition for the uniqueness of the Nash bargaining (NB) solution. The structure of the source covariance matrices, which constitute the feasible set of NB solution, is analyzed by comparing them with the covariance matrices leading to the Nash equilibrium (NE). The existence of the NB solution and concavity of the rate product for MIMO IFCs are also studied.