Utility Maximization in Nonconvex Wireless Systems
Nonfiction, Science & Nature, Technology, Telecommunications, Computers, Internet
| Author: | Johannes Brehmer | ISBN: | 9783642174384 |
| Publisher: | Springer Berlin Heidelberg | Publication: | March 15, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | Johannes Brehmer |
| ISBN: | 9783642174384 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | March 15, 2012 |
| Imprint: | Springer |
| Language: | English |
This monograph develops a framework for modeling and solving utility maximization problems in nonconvex wireless systems. The first part develops a model for utility optimization in wireless systems. The model is general enough to encompass a wide array of system configurations and performance objectives. Based on the general model, a set of methods for solving utility maximization problems is developed in the second part of the book. The development is based on a careful examination of the properties that are required for the application of each method. This part focuses on problems whose initial formulation does not allow for a solution by standard methods and discusses alternative approaches. The last part presents two case studies to demonstrate the application of the proposed framework. In both cases, utility maximization in multi-antenna broadcast channels is investigated.
This monograph develops a framework for modeling and solving utility maximization problems in nonconvex wireless systems. The first part develops a model for utility optimization in wireless systems. The model is general enough to encompass a wide array of system configurations and performance objectives. Based on the general model, a set of methods for solving utility maximization problems is developed in the second part of the book. The development is based on a careful examination of the properties that are required for the application of each method. This part focuses on problems whose initial formulation does not allow for a solution by standard methods and discusses alternative approaches. The last part presents two case studies to demonstrate the application of the proposed framework. In both cases, utility maximization in multi-antenna broadcast channels is investigated.
