An efficient operation of wireless communication systems is achieved by setting system parameters based on the solution of an optimization problem. Advanced techniques for increasing system performance induce a nonconvex problem structure. A methodology for solving such nonconvex problems is developed. Based on a change of optimization domain and a decomposition into inner and outer subproblems, different solution strategies are proposed. Dual methods exploit a convex structure, global methods a monotonic structure of the outer problem. A method for computing local solutions in the Pareto manifold of the outer problem is presented. Case studies are used to demonstrate application of the methods. The optimal parameter setup is obtained by a combination of the different methods. Moreover, a good performance of local Pareto solutions is shown.
«An efficient operation of wireless communication systems is achieved by setting system parameters based on the solution of an optimization problem. Advanced techniques for increasing system performance induce a nonconvex problem structure. A methodology for solving such nonconvex problems is developed. Based on a change of optimization domain and a decomposition into inner and outer subproblems, different solution strategies are proposed. Dual methods exploit a convex structure, global methods a...
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