Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
403982 | Neural Networks | 2014 | 6 Pages |
Abstract
In this paper, based on an equivalent mixed linear complementarity problem, we propose a neural network to solve multiuser power control optimization problems (MPCOP), which is modeled as the noncooperative Nash game in modern digital subscriber line (DSL). If the channel crosstalk coefficients matrix is positive semidefinite, it is shown that the proposed neural network is stable in the sense of Lyapunov and global convergence to a Nash equilibrium, and the Nash equilibrium is unique if the channel crosstalk coefficients matrix is positive definite. Finally, simulation results on two numerical examples show the effectiveness and performance of the proposed neural network.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xing He, Junzhi Yu, Tingwen Huang, Chuandong Li, Chaojie Li,