Dynamic Spectrum Access and Management in Cognitive Radio Networks

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Dynamic Spectrum Access and Management in Cognitive Radio Networks

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  • 製本 Hardcover:ハードカバー版/ページ数 504 p.
  • 言語 ENG
  • 商品コード 9780521898478
  • DDC分類 621.384

Full Description

Are you involved in designing the next generation of wireless networks? With spectrum becoming an ever scarcer resource, it is critical that new systems utilize all available frequency bands as efficiently as possible. The revolutionary technology presented in this book will be at the cutting edge of future wireless communications. Dynamic Spectrum Access and Management in Cognitive Radio Networks provides you with an all-inclusive introduction to this emerging technology, outlining the fundamentals of cognitive radio-based wireless communication and networking, spectrum sharing models, and the requirements for dynamic spectrum access. In addition to the different techniques and their applications in designing dynamic spectrum access methods, you'll also find state-of-the-art dynamic spectrum access schemes, including classifications of the different schemes and the technical details of each scheme. This is a perfect introduction for graduate students and researchers, as well as a useful self-study guide for practitioners.

Contents

Preface; Part I. Introduction: 1. Wireless communications systems; 2. Introduction to cognitive radio; Part II. Techniques for Design, Analysis, and Optimization of Dynamic Spectrum Access and Management: 3. Signal processing techniques; 4. Optimization techniques; 5. Game theory; 6. Intelligent algorithms; Part III. Dynamic Spectrum Access and Management: 7. Dynamic spectrum access: models, architectures, and control; 8. Centralized dynamic spectrum access; 9. Distributed dynamic spectrum access: cooperative and non-cooperative approaches; 10. Distributed dynamic spectrum access: learning algorithms and protocols; 11. Economics of dynamic spectrum access: spectrum trading; 12. Economics of dynamic spectrum access: application of spectrum trading models; References; Index.

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