Utility Maximization in Nonconvex Wireless Systems: Foundations in Signal Processing, Communications and Networking, cartea 5
Autor Johannes Brehmeren Limba Engleză Paperback – 13 apr 2014
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Paperback (1) | 622.48 lei 43-57 zile | |
Springer Berlin, Heidelberg – 13 apr 2014 | 622.48 lei 43-57 zile | |
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Springer Berlin, Heidelberg – 17 mar 2012 | 628.57 lei 43-57 zile |
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Specificații
ISBN-13: 9783642443978
ISBN-10: 3642443974
Pagini: 192
Ilustrații: VIII, 184 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.28 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Foundations in Signal Processing, Communications and Networking
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642443974
Pagini: 192
Ilustrații: VIII, 184 p.
Dimensiuni: 155 x 235 x 10 mm
Greutate: 0.28 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Foundations in Signal Processing, Communications and Networking
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
General Problem Setup.- Solution Methods.- Physical Layer Models.- Utility Models.- Case Studies.
Textul de pe ultima copertă
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 detail. The monograph concludes with two case studies that demonstrate the application of the proposed framework to utility maximization in multi-antenna broadcast channels.
Caracteristici
Develops a set of methods for solving utility maximization problems Presents case studies to demonstrate the application of the methods Encompasses a wide array of system configurations and performance objectives