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Received:July 08, 2007Revised:October 17, 2007 |
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Recursive estimation algorithms for power controls of wireless communication networks |
Gang George YIN, Chin-An TAN, Le Yi WANG, Chengzhong XU |
(Department of Mathematics, Wayne State University, Detroit Michigan 48202, USA; Department of Mechanical Engineering, Wayne State University, Detroit Michigan 48202, USA; Department of Electrical and Computer Engineering, Wayne State University, Detroit Michigan 48202, USA) |
Abstract: |
Power control problems for wireless communication networks are investigated in direct-sequence codedivision multiple-access (DS/CDMA) channels. It is shown that the underlying problem can be formulated as a constrained optimization problem in a stochastic framework. For effective solutions to this optimization problem in real time, recursive algorithms of stochastic approximation type are developed that can solve the problem with unknown system components. Under broad conditions, convergence of the algorithms is established by using weak convergence methods. |
Key words: Recursive estimation Power control DS/CDMA Stochastic approximation Constrained optimization |