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 constrai...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.展开更多
基金Research of G.Yin was supported by the National Science Foundation (CMS-0510655,DMS-0624849)the National Security Agency (MSPF-068-029)+3 种基金the National Natural Science Foundation of China (No.60574069)research of C.-A. Tan was supported by the National Science Foundation (CMS-0510655)research of L.Y.Wang was supported by the National Science Foundation (ECS-0329597, DMS-0624849)research of C.Z.Xu was supported by the National Science Foundation (CCF-0611750,DMS-0624849,CNS-0702488,CRI-0708232).
文摘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.
