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E-raamat: Fundamentals of Cognitive Radio

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A comprehensive treatment of cognitive radio networks and the specialized techniques used to improve wireless communications

The human brain, as exemplified by cognitive radar, cognitive radio, and cognitive computing, inspires the field of Cognitive Dynamic Systems. In particular, cognitive radio is growing at an exponential rate. Fundamentals of Cognitive Radio details different aspects of the human brain and provides examples of how it can be mimicked by cognitive dynamic systems. The text offers a communication-theoretic background, including information on resource allocation in wireless networks and the concept of robustness.

The authors provide a thorough mathematical background with data on game theory, variational inequalities, and projected dynamic systems. They then delve more deeply into resource allocation in cognitive radio networks. The text investigates the dynamics of cognitive radio networks from the perspectives of information theory, optimization, and control theory. It also provides a vision for the new world of wireless communications by integration of cellular and cognitive radio networks. This groundbreaking book:





Shows how wireless communication systems increasingly use cognition to enhance their networks Explores how cognitive radio networks can be viewed as spectrum supply chain networks Derives analytic models for two complementary regimes for spectrum sharing (open-access and market-driven) to study both equilibrium and disequilibrium behaviors of networks Studies cognitive heterogeneous networks with emphasis on economic provisioning for resource sharing Introduces a framework that addresses the issue of spectrum sharing across licensed and unlicensed bands aimed for Pareto optimality

Written for students of cognition, communication engineers, telecommunications professionals, and others, Fundamentals of Cognitive Radio offers a new generation of ideas and provides a fresh way of thinking about cognitive techniques in order to improve radio networks. 
List of Figures
xv
List of Tables
xxiii
Preface xxv
Acknowledgments xxvii
Acronyms xxix
1 Introduction
1(24)
1.1 The Fourth Industrial Revolution
1(3)
1.2 Cognitive Radio
4(3)
1.3 The Spectrum-Underutilization Problem
7(1)
1.4 Countrywide Measurements of Spectrum Utilization
8(1)
1.5 Why be Interested in Cognitive Radio Networks?
9(2)
1.6 Directed Information Flow
11(3)
1.7 Cognitive Radio Networks
14(3)
1.8 Mathematical Toolbox
17(3)
1.8.1 Game Theory
17(1)
1.8.2 Control Theory
18(1)
1.8.3 Optimization under Uncertainty
19(1)
1.9 Dominant Sources of Uncertainty in Cognitive Radio Networks
20(2)
1.10 Issue of Trustworthiness
22(1)
1.11 Vision for the Book
22(3)
2 Game Theory
25(6)
2.1 Game Theory Terminology
25(2)
2.1.1 Noncooperative Games versus Cooperative Games
26(1)
2.1.2 Static Games versus Dynamic Games
26(1)
2.1.3 One-Shot Games versus Repeated Games
26(1)
2.1.4 Games with Complete Information versus Games with Incomplete Information
26(1)
2.1.5 Games with Perfect Information versus Games with Imperfect Information
26(1)
2.2 Noncooperative Games
27(1)
2.2.1 Nash Equilibrium
28(1)
2.2.2 Variational Inequalities
28(1)
2.3 Cooperative Games
28(1)
2.3.1 Nash Bargaining
29(1)
2.4 Minority Games
29(1)
2.5 Concluding Remarks
30(1)
3 Cognitive Radio Transceiver
31(63)
3.1 Spectrum Sensing
32(26)
3.1.1 Attributes of Reliable Spectrum Sensing
33(1)
3.1.2 The Multitaper Method
33(5)
3.1.3 Space-Time Processing
38(3)
3.1.4 Time-Frequency Analysis
41(9)
3.1.5 Cyclostationarity: Fourier Perspective
50(4)
3.1.6 Rayleigh Fading Channels
54(1)
3.1.7 Remarks on Nonparametric Spectrum Sensing
55(2)
3.1.8 Filter-Bank Implementation of the Multitaper Method
57(1)
3.1.9 Cooperative Spectrum Sensing
57(1)
3.2 Dynamic Spectrum Management
58(13)
3.2.1 The Tsigankov -- Koulakov Model
60(1)
3.2.2 Self-Organizing Dynamic Spectrum Management
61(7)
3.2.3 Dynamic Spectrum Management Based on Minority Games
68(2)
3.2.4 Self-Organized Maps versus Minority Games
70(1)
3.3 Transmit-Power Control
71(20)
3.3.1 Waterfilling Interpretation of Information Capacity Theorem
75(2)
3.3.2 Iterative Waterfilling Algorithm (IWFA)
77(3)
3.3.3 IWFA as a Multistage Optimization Problem in Light of System Uncertainties
80(1)
3.3.4 Robust IWFA
80(1)
3.3.5 The Price of Robustness
81(1)
3.3.6 Robust IWFA versus Classic IWFA
82(9)
3.4 Information Value
91(2)
3.5 Concluding Remarks
93(1)
4 Cognitive Radio Networks
94(46)
4.1 Cognitive Radio Networks Viewed as Spectrum-Supply Chain Networks
94(5)
4.2 Open-access Cognitive Radio Networks
99(22)
4.2.1 Network Dynamics
102(7)
4.2.2 Cognitive Radio Network Viewed as a Hybrid Dynamic System
109(2)
4.2.3 Network Stability in the Presence of Uncertainty and Time Delay
111(4)
4.2.4 Double-layer Dynamics of Cognitive Radio Networks
115(6)
4.3 Market-driven Cognitive Radio Networks
121(10)
4.3.1 Legacy Owners
124(1)
4.3.2 Spectrum Brokers
125(1)
4.3.3 Secondary Users
126(1)
4.3.4 Equilibrium of the Spectrum-Supply Chain Network
127(2)
4.3.5 Network Dynamics
129(1)
4.3.6 Network Stability
129(1)
4.3.7 The Transportation Network Representation of the Spectrum-Supply Chain Network
129(2)
4.4 Supply Chain Efficiency
131(2)
4.5 Concluding Remarks
133(7)
4.5.1 Two Regimes of Cognitive Radio Networks
133(2)
4.5.2 Supply Chain Networks
135(1)
4.5.3 Cognitive Radio Commercialization
136(1)
4.5.4 The Role of Cognition in Cognitive Radio Networks
137(3)
5 Sustainability of the Spectrum-Supply Chain Network
140(8)
5.1 Unlicensed Bands as Public Goods
140(2)
5.2 The Spectrum-Supply Chain Network as an Artificial Economy
142(2)
5.3 Aiming for Lindahl Equilibria
144(3)
5.4 Concluding Remarks
147(1)
6 Cognitive Heterogeneous Networks
148(9)
6.1 Heterogeneous Networks
148(3)
6.2 Horizontal Mergers of Spectrum-Supply Chain Networks
151(4)
6.2.1 Premerger Status
151(3)
6.2.2 Spectrum Sharing
154(1)
6.2.3 Infrastructure Sharing
155(1)
6.2.4 Spectrum and Infrastructure Sharing
155(1)
6.3 Synergy Measure for Horizontal Mergers
155(1)
6.4 Concluding Remarks
156(1)
Appendix A Mathematical Model for Open-Access Cognitive Radio Networks 157(10)
Appendix B Proof of Theorems 167(11)
References 178(17)
Index 195
PEYMAN SETOODEH is a Professor at the School of Electrical and Computer Engineering at Shiraz University, Shiraz, Iran. SIMON HAYKIN is a Distinguished University Professor at McMaster University, Hamilton, Ontario, Canada.
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