Cognitive Wireless Communication Networks

1. Front Matter

   Pages I-XXVIII

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2. Fundamental Issues in Cognitive Radio

   • Simon Haykin

   Pages 1-43

3. Information Theoretic Analysis of Cognitive Radio Systems

   • Natasha Devroye, Patrick Mitran, Masoud Sharif, Saeed Ghassemzadeh, Vahid Tarokh

   Pages 45-78

4. Coexistence and Dynamic Sharing in Cognitive Radio Networks

   • Sofie Pollin

   Pages 79-113

5. Cooperative Spectrum Sensing

   • Khaled Ben Letaief, Wei Zhang

   Pages 115-138

6. A Protocol Suite for Cognitive Radios in Dynamic Spectrum Access Networks

   • Michael B. Pursley, Thomas C. Royster

   Pages 139-163

7. OFDM-Based Cognitive Radios for Dynamic Spectrum Access Networks

   • Rakesh Rajbanshi, Alexander M. Wyglinski, Gary J. Minden

   Pages 165-188

8. Link Adaptation in OFDM-Based Cognitive Radio Systems

   • Gaurav Bansal, Md. Jahangir Hossain, Vijay K. Bhargava

   Pages 189-211

9. UWB-Based Cognitive Radio Networks

   • Hüseyin Arslan, Mustafa E. Şahin

   Pages 213-230

10. Degrees of Cooperation in Dynamic Spectrum Access for Distributed Cognitive Radios

    • Zhu Han

    Pages 231-270

11. Cognitive MAC Protocols for Dynamic Spectrum Access

    • Qing Zhao, Yunxia Chen, Ananthram Swami

    Pages 271-301

12. Game Theoretic Learning and Pricing for Dynamic Spectrum Access in Cognitive Radio

    • Michael Maskery, Vikram Krishnamurthy, Qing Zhao

    Pages 303-325

13. Decentralized Spectrum Management Through User Coordination

    • Haitao Zheng, Lili Cao

    Pages 327-364

14. Optimal Spectrum Sensing Decision for Hardware-Constrained Cognitive Networks

    • Qian Zhang, Juncheng Jia, Xuemin Sherman Shen

    Pages 365-390

15. Microeconomic Models for Dynamic Spectrum Management in Cognitive Radio Networks

    • Dusit Niyato, Ekram Hossain

    Pages 391-423

16. Analysis of Cognitive Radio Dynamics

    • Maria-Gabriella Di Benedetto, Maria Domenica Di Benedetto, Guerino Giancola, Elena De Santis

    Pages 425-438

17. Back Matter

    Pages 439-440

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A Brief Journey through “Cognitive Wireless Communication Networks” Ekram Hossain, University of Manitoba, Winnipeg, Canada Vijay Bhargava, University of British Columbia, Vancouver, Canada Introduction Cognitive radio has emerged as a promising technology for maximizing the utili- tion of the limited radio bandwidth while accommodating the increasing amount of services and applications in wireless networks. A cognitive radio (CR) transceiver is able to adapt to the dynamic radio environment and the network parameters to maximize the utilization of the limited radio resources while providing ?exibility in wireless access. The key features of a CR transceiver are awareness of the radio en- ronment (in terms of spectrum usage, power spectral density of transmitted/received signals, wireless protocol signaling) and intelligence. This intelligence is achieved through learning for adaptive tuning of system parameters such as transmit power, carrier frequency, and modulation strategy (at the physical layer), and higher-layer protocol parameters. Development of cognitive radio technology has to deal with technical and pr- tical considerations (which are highly multidisciplinary) as well as regulatory - quirements. There is an increasing interest on this technology among the researchers in both academia and industry and the spectrum policy makers. The key enabling techniques for cognitive radio networks (also referred to as dynamic spectrum - cess networks) are wideband signal processing techniques for digital radio, advanced wireless communications methods, arti?cial intelligence and machine learning te- niques, and cognitive radio-aware adaptive wireless/mobile networking protocols.

• Cognitive Radio Networks
• Hossain
• Information
• Orthogonal frequency-division multiplexing
• Transceiver
• artificial intelligence
• communication
• development
• learning
• machine learning
• organization
• radio technology
• robot
• software-defined radio
• speech processing

• Department of Electrical & Computer Engineering, University of Manitoba, Winnipeg MB R3T 5V6, Canada

  Ekram Hossain

• Department of Electrical & Computer Engineering, University of British Columbia, Vancouver V6T 1Z4, Canada

  Vijay Bhargava

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