Utility Maximization in Nonconvex Wireless Systems

Nonfiction, Science & Nature, Technology, Telecommunications, Computers, Internet
Cover of the book Utility Maximization in Nonconvex Wireless Systems by Johannes Brehmer, Springer Berlin Heidelberg
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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.

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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.

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