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Game Theory for Next Generation Wireless and Communication Networks: Modeling, Analysis, and Design [Hardback]

(University of Houston), (University of Illinois, Urbana-Champaign), , (Nanyang Technological University, Singapore)
  • Formāts: Hardback, 504 pages, height x width x depth: 253x179x27 mm, weight: 1150 g, Worked examples or Exercises; 15 Tables, black and white; 184 Line drawings, black and white
  • Izdošanas datums: 27-Jun-2019
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1108417337
  • ISBN-13: 9781108417334
  • Hardback
  • Cena: 122,34 €
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  • Formāts: Hardback, 504 pages, height x width x depth: 253x179x27 mm, weight: 1150 g, Worked examples or Exercises; 15 Tables, black and white; 184 Line drawings, black and white
  • Izdošanas datums: 27-Jun-2019
  • Izdevniecība: Cambridge University Press
  • ISBN-10: 1108417337
  • ISBN-13: 9781108417334
Discover the very latest game-theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems with this unique text. Providing a unified and comprehensive treatment throughout, it explains basic concepts and theories for designing novel distributed wireless networking mechanisms, describes emerging game-theoretic tools from an engineering perspective, and provides an extensive overview of recent applications. A wealth of new tools is covered - including matching theory and games with bounded rationality - and tutorial chapters show how to use these tools to solve current and future wireless networking problems in areas such as 5G networks, network virtualization, software defined networks, cloud computing, the Internet of Things, context-aware networks, green communications, and security. This is an ideal resource for telecommunications engineers, and researchers in industry and academia who are working on the design of efficient, scalable, and robust communication protocols for future wireless networks, as well as graduate students in these fields.

A unified treatment of the latest game theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks. Covering theory, analytical tools, and applications, it is ideal for researchers and graduate students in academia and industry designing efficient, scalable and robust protocols for future wireless networks.

Recenzijas

'The authors are renowned experts of the applications of game theory to communication and networking problems. This book is timely and, pedagogical, and provides state-of-the-art results for the design of next generation distributed networks. I strongly encourage everyone in our field to have it as a reference textbook.' Merouane Debbah, CentraleSupélec

Papildus informācija

Discover the latest game theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks and systems.
Acknowledgment xii
1 Introduction
1(8)
1.1 Overview and Motivation
1(2)
1.2 Intended Book Audience
3(1)
1.3 Organization
4(5)
Part I Theory
9(184)
2 Matching Games
11(27)
2.1 Fundamentals of Matching Theory
11(6)
2.2 Example 1: Student Project Allocation Model for LTE-Unlicensed
17(11)
2.3 Example 2: Stable Fixture Model in LTE V2X
28(9)
2.4 Summary
37(1)
3 Contract Theory
38(70)
3.1 Basic Concepts
39(7)
3.2 Example 1: Incentive Mechanisms for Device-to-Device Communications in Cellular Networks with Adverse Selection
46(19)
3.3 Example 2: Multidimensional Incentive Mechanism in Mobile Crowdsourcing with Moral Hazard
65(24)
3.4 Example 3: Financing Contract with Adverse Selection and Moral Hazard for Spectrum Trading in Cognitive Radio Networks
89(16)
3.5 Summary
105(3)
4 Stochastic Games
108(4)
4.1 Basics of a Stochastic Game
108(1)
4.2 Strategies, Equilibrium, and Key Results
109(2)
4.3 Summary
111(1)
5 Games with Bounded Rationality
112(11)
5.1 Introduction to Bounded Rationality
112(1)
5.2 Prospect Theory: Motivation
113(3)
5.3 Foundations of Prospect Theory: Weighting Effects and Framing Effects
116(5)
5.4 Other Notions of Bounded Rationality
121(1)
5.5 Summary
122(1)
6 Learning in Games
123(21)
6.1 Introduction to Learning in Games
123(2)
6.2 Best Response Dynamics
125(6)
6.3 Fictitious Play
131(5)
6.4 Regret Matching
136(1)
6.5 Reinforcement Learning
137(2)
6.6 Learning with Artificial Neural Networks
139(3)
6.7 Summary
142(2)
7 Equilibrium Programming with Equilibrium Constraints
144(24)
7.1 Variational Inequalities
145(2)
7.2 Stackelberg Game Review
147(2)
7.3 Mathematical Programming with Equilibrium Constraints (MPEC)
149(3)
7.4 Equilibrium Programming with Equilibrium Constraints (EPEC)
152(2)
7.5 Example: Physical Layer Security
154(13)
7.6 Summary
167(1)
8 Miscellaneous Games
168(25)
8.1 Zero-Determinant Strategy
168(21)
8.2 Social Choice Theory
189(4)
Part II Applications
193(266)
9 Applications of Game Theory in the Internet of Things
195(63)
9.1 An Overview of the Internet of Things (IoT)
197(3)
9.2 Game Theoretic Models for Data Collection in the IoT
200(15)
9.3 Privacy Management and Optimal Pricing in People-Centric Sensing
215(21)
9.4 Tournament Model Based Optimized Incentive Mechanism for Mobile Crowdsourcing
236(21)
9.5 Summary
257(1)
10 Applications of Game Theory in Network Virtualization
258(12)
10.1 Complementary Investment of Infrastructure and Service Providers in Wireless Network Virtualization
258(2)
10.2 System Model
260(3)
10.3 Problem Formulation
263(3)
10.4 Simulation Results and Analysis
266(3)
10.5 Summary
269(1)
11 Applications of Game Theory in Cloud Networking
270(45)
11.1 Cloud Networking
271(5)
11.2 Game Theoretic/Auction Models for Cloud Networking
276(10)
11.3 Cooperative Game for Mobile Cloud Resource Management
286(15)
11.4 Service Assurance in Cloud Computing Market with Incomplete Information
301(13)
11.5 Summary
314(1)
12 Applications of Game Theory in Context-Aware Networks and Mobile Services
315(32)
12.1 Sponsored Content Game Theoretic Modeling
316(19)
12.2 College Admission Model for Facebook Content Caching
335(11)
12.3 Summary
346(1)
13 Applications of Game Theory for Green Communication Networks
347(30)
13.1 Energy Harvesting and Green Communications
348(6)
13.2 Applications of Game Theory in Green Communications
354(4)
13.3 Stackelberg Game for RF-Powered Backscatter Cognitive Radio Networks
358(18)
13.4 Summary
376(1)
14 4G, 5G, and Beyond
377(48)
14.1 Stable Marriage Model with Cheating for D2D Communications
377(16)
14.2 Contract-Based Trading for Small-Cell Caching System
393(9)
14.3 Traffic Offloading from Licensed Band to Unlicensed Band
402(22)
14.4 Summary
424(1)
15 Security
425(34)
15.1 Security of Drone Delivery Systems
425(13)
15.2 Moving Target Defense in Wireless IoT Networks
438(9)
15.3 Critical Infrastructure Protection
447(10)
15.4 Summary
457(2)
References 459(35)
Index 494
Zhu Han is a John and Rebecca Moores Professor in the Department of Electrical and Computer Engineering as well as the Computer Science Department at the University of Houston and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Dusit Niyato is a professor in the School of Computer Science and Engineering at Nanyang Technological University, Singapore and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Walid Saad is an associate professor at the Department of Electrical and Computer Engineering at Virginia Tech and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Tamer Baar is the Swanlund Endowed Chair, CAS Professor of Electrical and Computer Engineering, and director of the Center for Advanced Study at the University of Illinois, Urbana-Champaign. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), International Federation of Automatic Control (IFAC), and Society for Industrial and Applied Mathematics (SIAM), and a member of the National Academy of Engineering (NAE).