Power control problems for wireless communication networks are investigated in direct-sequence code-division 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. Power control problems for wireless communication networks are investigated in direct-sequence code-division multiple-access (DS / CDMA) channels. It shows shown that the underlying problem can be formulated as a constrained optimization problem in a stochastic framework. 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.