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Utility Maximization in Nonconvex Wireless Systems [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Brehmer, Johannes
  • Author:  Brehmer, Johannes
  • ISBN-10:  3642443974
  • ISBN-10:  3642443974
  • ISBN-13:  9783642443978
  • ISBN-13:  9783642443978
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2014
  • Pub Date:  01-Mar-2014
  • SKU:  3642443974-11-SPRI
  • SKU:  3642443974-11-SPRI
  • Item ID: 100936115
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Jul 04 to Jul 06
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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.This book offers a framework for modeling and solving utility maximization problems in nonconvex wireless systems, presenting a general model for utility optimization in wireless systems, methods for solving problems, and case studies showing the model in use.General Problem Setup.- Solution Methods.- Physical Layer Models.- Utility Models.- Case Studies.

This monograph formulates a framework for modeling and solving utility maximization problems in nonconvex wireless systems. First, a model for utility optimization in wireless systems is defined. 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. The development is based on a careful examination of the properties that are required for the application of each method. The focus is on problems whose initial formulation does not allow for a solution by standard convex methods. Solution approaches that take into account the nonconvexities inherent to wireless systems are discussed in l“c

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