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作 者:Gang George YIN Chin-An TAN Le Yi WANG Chengzhong XU
机构地区:[1]Department of Mathematics, Wayne State University, Detroit Michigan 48202, USA [2]Department of Mechanical Engineering, Wayne State University, Detroit Michigan 48202, USA
出 处:《控制理论与应用(英文版)》2008年第3期225-232,共8页
基 金:Research of G.Yin was supported by the National Science Foundation (CMS-0510655,DMS-0624849);the National Security Agency (MSPF-068-029);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).
摘 要: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.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.
关 键 词:Recursive estimation Power control DS/CDMA Stochastic approximation Constrained optimization
分 类 号:TN925[电子电信—通信与信息系统]
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