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Foundations in Signal Processing, Communications and Networking Ser.: Utility Maximization in Nonconvex Wireless Systems by Johannes Brehmer (2012, Hardcover)

About this product

Product Identifiers

PublisherSpringer Berlin / Heidelberg
ISBN-10364217437X
ISBN-139783642174377
eBay Product ID (ePID)24038619968

Product Key Features

Number of PagesVIII, 184 Pages
LanguageEnglish
Publication NameUtility Maximization in Nonconvex Wireless Systems
SubjectMobile & Wireless Communications, Computer Science, Telecommunications, Applied, Optimization
Publication Year2012
TypeTextbook
Subject AreaMathematics, Computers, Technology & Engineering
AuthorJohannes Brehmer
SeriesFoundations in Signal Processing, Communications and Networking Ser.
FormatHardcover

Dimensions

Item Height0.2 in
Item Weight16.2 Oz
Item Length9.3 in
Item Width6.1 in

Additional Product Features

Intended AudienceScholarly & Professional
Dewey Edition23
Series Volume Number5
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal621.382015196
SynopsisThis 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., 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.
LC Classification NumberTK5101-5105.9