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Scalability, Density, and Decision Making in Cognitive Wireless Networks [electronic resource]

Preston Marshall, University of Southern California
Format
EBook; Book; Online
Published
Cambridge : Cambridge University Press, 2013.
Language
English
ISBN
9781107015494 (hardback)
Summary
"This cohesive treatment of cognitive radio and networking technology integrates information and decision theory to provide insight into relationships throughout all layers of networks and across all wireless applications. It encompasses conventional considerations of spectrum and waveform selection, and covers topology determination, routing policies, content positioning, and future hybrid architectures that fully integrate wireless and wired services. Features specific examples of decision-making structures and criteria required to extend network density and scaling to unprecedented levels. - Integrates sensing, control plane and content operations into a single cohesive structure - Provides simpler and more powerful models of network operation - Presents a unique approach to decision-making and mechanisms to adjust control plane activity to ensure network scaling. - Generalises the concepts of shared and adaptive spectrum policies - Addresses network transport operations and dynamic management of cognitive wireless networks' own information seeking behaviour"--
Contents
Machine generated contents note: Preface; Part I. Overview: 1. Introduction; 2. Theoretical foundations; 3. Future wireless operation, environments and dynamic spectrum access; 4. Fundamental challenges in cognitive radio and wireless systems; Part II. Generalized Environmental Characterization: 5. The spectrum and channel environment; 6. Propagation modeling, characterization and control; 7. The connectivity environment; 8. The information and content environment; Part III. System Performance of Cognitive Wireless Systems: 9. Network scaling; 10. Network physical density limitations; 11. Network sensing and exchange information effectiveness; 12. Content access information effectiveness; 13. Minimizing nonlinear circuit effects; Part IV. Integrated Analysis and Decision-Making: 14. Awareness structure for cognitive wireless systems; 15. Instantiating and updating beliefs across wireless networks; 16. Decision-making structure for cognitive wireless systems; Part V. Summary: 17. Further research needs in cognitive wireless networks; Appendix A. Terms and acronyms; Appendix B. Symbols; Appendix C. Mathematica and MATLAB routines.
Description
Mode of access: World wide Web.
Notes
Includes bibliographical references and index.
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