Bargaining Strategies for Networked Multimedia Resource Management
IEEE Transactions on Signal Processing - Part I
Iterative water-filling for Gaussian vector multiple-access channels
IEEE Transactions on Information Theory
Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels
IEEE Transactions on Information Theory
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
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 we study the computation of the Nash bargaining solution for the two players, K frequency bands case, under joint FDMlTDM spectrum allocations and total power constraint. The results improve previous analysis by Han et ale We provide a computationally efficient algorithm as well as detailed analysis of the Karush-Kuhn-Thcker (KKT) equations necessary for proving the correctness of the algorithm. Simulation results demonstrating the gain of the NBS over competitive approaches are also provided.