Utility Maximization in Nonconvex Wireless Systems

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 objective...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Brehmer, Johannes (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:Foundations in Signal Processing, Communications and Networking, 5
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Brehmer, Johannes.  |e author. 
245 1 0 |a Utility Maximization in Nonconvex Wireless Systems  |h [electronic resource] /  |c by Johannes Brehmer. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a VIII, 184 p.  |b online resource. 
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490 1 |a Foundations in Signal Processing, Communications and Networking,  |x 1863-8538 ;  |v 5 
505 0 |a General Problem Setup -- Solution Methods -- Physical Layer Models -- Utility Models -- Case Studies. 
520 |a 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. 
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650 0 |a Information theory. 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Models and Principles. 
650 2 4 |a Information and Communication, Circuits. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642174377 
830 0 |a Foundations in Signal Processing, Communications and Networking,  |x 1863-8538 ;  |v 5 
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