Cognitive Radio Communications and Networks
Principles and Practice
Edited By- Alexander Wyglinski
- Maziar Nekovee
- Thomas Hou
This book gives comprehensive and balanced coverage of the principles of cognitive radio communications, cognitive networks, and details of their implementation, including the latest developments in the standards and spectrum policy. Case studies, end-of-chapter questions, and descriptions of various platforms and test beds, together with sample code, give hands-on knowledge of how cognitive radio systems can be implemented in practice. Extensive treatment is given to several standards, including IEEE 802.22 for TV White Spaces and IEEE SCC41.
Written by leading people in the field, both at universities and major industrial research laboratories, this tutorial text gives communications engineers, R&D engineers, researchers, undergraduate and post graduate students a complete reference on the application of wireless communications and network theory for the design and implementation of cognitive radio systems and networks.
- Each chapter is written by internationally renowned experts, giving complete and balanced treatment of the fundamentals of both cognitive radio communications and cognitive networks, together with implementation details
- Extensive treatment of the latest standards and spectrum policy developments enables the development of compliant cognitive systems
- Strong practical orientation - through case studies and descriptions of cognitive radio platforms and testbeds - shows how "real world" cognitive radio systems and network architectures have been built
- Additional materials, slides, solutions to end-of-chapter problems, and sample codes, are available at www.elsevierdirect.com/companions
Alexander M. Wyglinski is an Assistant Professor of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI), Director of the WPI Limerick Project Center, and Director of the Wireless Innovation Laboratory (WI Lab).
Maziar Nekovee leads cognitive radio research at BT (British Telecom) and is also involved in leading a number of large EU and International collaborative R&D projects on cognitive radio networks and secondary/dynamic spectrum access.
Y. Thomas Hou is an Associate Professor of Electrical and Computer Engineering at Virginia Polytechnic Institute and State University ("Virginia Tech"), Blacksburg, VA, USA.
Audience
Communications and signal processing engineers; computer engineers; graduates on wireless communications masters programs
Hardbound, 736 Pages
Published: November 2009
Imprint: Academic Press
ISBN: 978-0-12-374715-0
Reviews
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Wyglinksis Cognitive Radio Communications and Networks reviewed in the German-language magazine HF-Praxis
Contents
CHAPTER 1 When radio meets software
Alexander M. Wyglinski, Maziar Nekovee, and Y. Thomas Hou1.1 Introduction
1.2 Software-Defined Radio
1.3 Cognitive Radio
1.4 Key Applications
1.5 Book OrganizationTheme 1 Cognitive radio communication techniques and algorithms
CHAPTER 2 Radio frequency spectrum and regulation
Dennis Roberson and William Webb2.1 Introduction
CHAPTER 3 Digital communication fundamentals for cognitive radio
2.2 Spectrum: Natures Communication Highway
2.3 Regulatory History and Successes
2.4 Emerging Regulatory Challenges and Actions
2.5 Regulatory Issues of Cognitive Access
2.6 Spectrum Measurements and Usage
2.7 Applications for Spectrum Occupancy Data
2.8 Chapter Summary and Further Readings
2.9 Problems
Si Chen and Alexander M. Wyglinski3.1 Introduction
CHAPTER 4 Spectrum sensing and identification
3.2 Data Transmission
3.3 Digital Modulation Techniques
3.4 Probability of Bit Error
3.5 Multicarrier Modulation
3.6 Multicarrier Equalization Techniques
3.7 Intersymbol Interference
3.8 Pulse Shaping
3.9 Chapter Summary and Further Readings
3.10 Problems
Qing Zhao and Ananthram Swami4.1 Introduction
CHAPTER 5 Spectrum access and sharing
4.2 Primary Signal Detection
4.3 From Detecting Primary Signals to Detecting Spectrum Opportunities
4.4 Fundamental Trade-offs: Performance versus Constraint
4.5 Fundamental Trade-offs: Sensing Accuracy versus Sensing Overhead
4.6 Chapter Summary and Further Readings
4.7 Problems
Alireza Attar, Oliver Holland, and Hamid Aghvami5.1 Introduction
CHAPTER 6 Agile transmission techniques
5.2 Unlicensed Spectrum Sharing
5.3 Licensed Spectrum Sharing
5.4 Secondary Spectrum Access
5.5 Non-Real-Time SSA
5.6 Real-Time SSA
5.7 Chapter Summary
5.8 ProblemsSrikanth Pagadarai, Rakesh Rajbanshi, Gary J. Minden, and Alexander M. Wyglinski
6.1 Introduction
6.2 Wireless Transmission for Dynamic Spectrum Access
6.3 Noncontiguous Orthogonal Frequency Division Multiplexing
6.4 NC-OFDM-Based Cognitive Radio: Challenges and Solutions
6.5 Chapter Summary and Further Readings
6.6 ProblemsCHAPTER 7 Reconfiguration, adaptation, and optimization
7.1 Introduction
Timothy R. Newman, Joseph B. Evans, and Alexander M. Wyglinski
7.2 Adaptation Engine
7.3 Operating Parameters
7.4 Parameter Relationships
7.5 Cognitive Adaptation Engines
7.6 Chapter Summary
7.7 ProblemsTheme 2 Cognitive radio network theory
CHAPTER 8 Fundamentals of communication networks
Shiwen Mao8.1 Introduction
CHAPTER 9 Cognitive radio network architectures
8.2 Architecture and Building Blocks
8.3 New Challenges in Wireless Networks
8.4 Mobility Modeling
8.5 Power Control and Multiuser Diversity
8.6 Multiple Access Schemes
8.7 Routing, Energy Efficiency, and Network Lifetime
8.8 Congestion Control in Wireless Networks
8.9 Cross-Layer Design and Optimization
8.10 Chapter Summary
8.11 Problems
Petri Mähönen and Janne Riihijärvi9.1 Introduction
CHAPTER 10 User cooperative communications
9.2 Cognitive Radio Network Architectures
9.3 Topology-Aware CRN Architectures
9.4 Publish-Subscribe CRN Architecture
9.5 Chapter Summary
9.6 Problems
Elsheikh Elsheikh, Kai-Kit Wong, Yangyang Zhang, and Tiejun Cui10.1 Introduction
CHAPTER 11 Information theoretical limits on cognitive radio networks
10.2 Relay Channels
10.3 User Cooperation in Wireless Networks
10.4 Multihop Relay Channel
10.5 Chapter Summary and Further Readings
10.6 Problems
Natasha Devroye11.1 Introduction
CHAPTER 12 Cross-layer optimization for multihop cognitive radio networks
11.2 Information Theoretic Basics
11.3 Interference-Avoiding Behavior: Spectrum Interweave
11.4 Interference-Controlled Behavior: Spectrum Underlay
11.5 Interference-Mitigating Behavior: Spectrum Overlay
11.6 Chapter Summary
11.7 Problems
Yi Shi and Y. Thomas Hou12.1 Introduction
Theme 3 Applications, standards, and implementations of cognitive radio
12.2 Mathematical Models at Multiple Layers
12.3 A Case Study: The Throughput Maximization Problem
12.4 Numerical Results for the Throughput Maximization Problem
12.5 Chapter Summary
12.6 ProblemsCHAPTER 13 Defining cognitive radio
13.1 Introduction
Przemyslaw Pawelczak and Rangarao Venkatesha Prasad
13.2 Defining CR: History, Applications, and Related Concepts
13.3 CR Terminology Standardization
13.4 Chapter Summary
13.5 ProblemsCHAPTER 14 Cognitive radio for broadband wireless access in TV bands: The IEEE 802.22 standards
14.1 Introduction
Carlos Cordeiro, Dave Cavalcanti, and Saishankar Nandagopalan
14.2 Overview of IEEE 802.22 Standard
14.3 IEEE 802.22 Physical Layer
14.4 IEEE 802.22 Medium-Access Control Layer
14.5 Spectrum Sensing
14.6 Other Standardization Activities
14.7 Chapter Summary and Future Directions
14.8 ProblemsCHAPTER 15 Cognitive radio network security
15.1 Introduction
Jung-Min Jerry" Park, Kaigui Bian, and Ruiliang Chen
15.2 Primary-User Emulation Attacks
15.3 Robust Distributed Spectrum Sensing
15.4 Security Vulnerabilities in IEEE 802.22
15.5 Security Threats to the Radio Software
15.6 ProblemsCHAPTER 16 Public safety and cognitive radio
16.1 Introduction
Marnix Heskamp, Roel Schiphorst, and Kees Slump
16.2 Standards for Public Safety Communication
16.3 Applications of Cognitive Radio
16.4 Chapter Summary
16.5 ProblemsCHAPTER 17 Auction-based spectrum markets in cognitive radio networks
17.1 Introduction
Xia Zhou, Heather Zheng, Maziar Nekovee, and Milind M. Buddhikot
17.2 Rethinking Spectrum Auctions
17.3 On-demand Spectrum Auctions
17.4 Economically Robust Spectrum Auctions
17.5 Double Spectrum Auctions for Multiparty Trading
17.6 Chapter Summary and Further Readings
17.7 ProblemsCHAPTER 18 GNU radio for cognitive radio experimentation
18.1 Introduction
Michael J. Leferman, Di Pu, and Alexander M. Wyglinski
18.2 Analog Receiver
18.3 Digital Transmitter
18.4 Digital Receiver
18.5 Cognitive Transmitter
18.6 Chapter Summary
18.7 ProblemsCHAPTER 19 Cognitive radio platforms and testbeds
19.1 Introduction
Danijela Cabric, David Taubenheim, Gio Cafaro, and Ronan Farrell
19.2 Cognitive Radio Platform Based on Berkeley Emmulation Engine
19.3 Motorola 10 MHz-4 GHz CMOS-Based, Experimental Cognitive Radio Platform
19.4 The Maynooth Adaptable Radio System
19.5 Chapter Summary
19.6 ProblemsCHAPTER 20 Cognitive radio evolution
20.1 Introduction
Joseph Mitola III
20.2 Cognitive Radio Architectures
20.3 Architecture Evolution and Use Case Evolution
20.4 Sensory Perception in the Evolving CRA
20.5 Quality of Information
20.6 Cognitive Radio Policy Languages
20.7 Challenges and Opportunities
20.8 Chapter SummaryAppendices: GNU radio experimentation
Appendix A: Essential Linux Commands
Appendix B: GNU Radio Installation Guide
Appendix C: Universal Software Radio Peripheral
Appendix D: GNU Radio Python Program Structure
Appendix E: Analog Receiver Code
Appendix F: Digital Transmitter Code
Appendix G: Digital Receiver Code
Appendix H: Adaptive Transmitter Code

