Mechanisms and games for dynamic spectrum allocation /

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"Presenting state-of-the-art research into methods of wireless spectrum allocation based on game theory and mechanism design, this innovative and comprehensive book provides a strong foundation for the design of future wireless mechanisms and spectrum markets. Prominent researchers showcase a d...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Alpcan, Tansu, 1975- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, United Kingdom ; New York : Cambridge University Press, 2014.
Temas:
Wireless communication systems > Management.
Radio frequency allocation.
Signal theory (Telecommunication)
Game theory.
Game Theory
Transmission sans fil > Gestion.
Radiofréquences > Attribution.
Théorie du signal (Télécommunications)
Théorie des jeux.
BUSINESS & ECONOMICS > Industries > Media & Communications.
TECHNOLOGY & ENGINEERING > Telecommunications.
Acceso en línea:Texto completo

MARC

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245 0 0 |a Mechanisms and games for dynamic spectrum allocation /  |c [edited by] Tansu Alpcan, University of Melbourne, Holger Boche, Technische Universität München, Michael L. Honig, Northwestern University, H. Vincent Poor, Princeton University. 
264 1 |a Cambridge, United Kingdom ;  |a New York :  |b Cambridge University Press,  |c 2014. 
300 |a 1 online resource (xxii, 581 pages) 
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520 |a "Presenting state-of-the-art research into methods of wireless spectrum allocation based on game theory and mechanism design, this innovative and comprehensive book provides a strong foundation for the design of future wireless mechanisms and spectrum markets. Prominent researchers showcase a diverse range of novel insights and approaches to the increasing demand for limited spectrum resources, with a consistent emphasis on theoretical methods, analytical results and practical examples. Covering fundamental underlying principles, licensed spectrum sharing, opportunistic spectrum sharing, and wider technical and economic considerations, this singular book will be of interest to academic and industrial researchers, wireless industry practitioners, and regulators interested in the foundations of cutting-edge spectrum management"--  |c Provided by publisher 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a Cover; Half-title; Dedication; Title; Copyright; Contents; Contributors; Preface; I Theoretical Fundamentals; 1 Games and mechanisms for networked systems: incentives and algorithms; 1.1 Introduction; 1.2 System model; 1.3 Interference and utility function models; 1.4 Pricing mechanisms for multi-carrier wireless systems; 1.4.1 Net utility maximization; 1.4.2 Alternative designer objectives; 1.5 Learning in pricing mechanisms; 1.6 Auction-based mechanisms; 1.7 Discussion and open problems; References; 2 Competition in wireless systems via Bayesian interference games; 2.1 Introduction 
505 8 |a 2.2 Static Gaussian interference games2.2.1 Preliminaries; 2.2.2 The Gaussian interference game with unknown channel gains; 2.2.3 Bayesian Gaussian interference game; 2.3 Sequential interference games with incomplete information; 2.3.1 A two-stage sequential game; 2.3.2 A sequential game with entry; 2.4 Repeated games with entry: the reputation effect; 2.4.1 A repeated SBGI-E game; 2.4.2 Sequential equilibrium of the repeated game; 2.5 Conclusion; 2.6 Appendix; References; 3 Reacting to the interference field; 3.1 Introduction; 3.1.1 Spectrum access as a game; 3.1.2 Cognitive access game 
505 8 |a 3.1.3 Mean-field game approach3.1.4 Interference management in large-scale networks; 3.1.5 Objectives; 3.1.6 Structure of the chapter; 3.1.7 Notations; 3.2 Wireless model; 3.2.1 Channel model; 3.2.2 Mobility model; 3.2.3 Path-loss model; 3.2.4 Remaining energy dynamics; 3.2.5 Queue dynamics; 3.2.6 SINR model; 3.3 Game-theoretic formulations; 3.4 Reaction to the interference field; 3.4.1 Introduction to mean-field games; 3.4.2 The interference field; 3.5 Mean-field stochastic game; 3.5.1 On a game with one-and-half player; 3.5.2 Strategies and payoffs; 3.5.3 Mean-field equilibrium 
505 8 |a 4.1.6 Discussion and comparison of consumer models4.2 Walrasian market model; 4.2.1 Existence of a Walrasian equilibrium; 4.2.2 Uniqueness of the Walrasian equilibrium; 4.2.3 Convergence of a tâtonnement process; 4.2.4 Efficiency of a Walrasian equilibrium; 4.2.5 Example 1: Two-user protected and shared bands; 4.2.6 Example 2: Two-user MISO interference channel; 4.2.7 Example 3: MC interference channel; References; 5. Power allocation and spectrum sharing in wireless networks: an implementation theory approach; 5.1 Introduction; 5.1.1 Chapter organization; 5.2 What is implementation theory? 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Wireless communication systems  |x Management. 
650 0 |a Radio frequency allocation. 
650 0 |a Signal theory (Telecommunication) 
650 0 |a Game theory. 
650 2 |a Game Theory 
650 6 |a Transmission sans fil  |x Gestion. 
650 6 |a Radiofréquences  |x Attribution. 
650 6 |a Théorie du signal (Télécommunications) 
650 6 |a Théorie des jeux. 
650 7 |a BUSINESS & ECONOMICS  |x Industries  |x Media & Communications.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Telecommunications.  |2 bisacsh 
650 7 |a Game theory.  |2 fast  |0 (OCoLC)fst00937501 
650 7 |a Radio frequency allocation.  |2 fast  |0 (OCoLC)fst01087315 
650 7 |a Signal theory (Telecommunication)  |2 fast  |0 (OCoLC)fst01118306 
650 7 |a Wireless communication systems  |x Management.  |2 fast  |0 (OCoLC)fst01176217 
700 1 |a Alpcan, Tansu,  |d 1975-  |e editor. 
776 0 8 |i Print version:  |t Mechanisms and games for dynamic spectrum allocation  |z 9781107034129  |w (DLC) 2013044140  |w (OCoLC)862149411 
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