Description
Cognitive radio is the exciting new paradigm for wireless communication. Devices and networks constantly interact in real-time, and adapt to environments, missions, and user actions in order to communicate more effectively, avoid or manage interference, mitigate stressing conditions, and save energy. This area is one of the most exciting emerging fields in communications technology, as well as a compelling application of information theory, decision theory, network science, and formal methods. Taking an integrated development approach, this cutting-edge book provides clear methods for performing quantitative analysis of cognitive radio techniques in a variety of environments. This detailed reference presents a quantitative structure that helps professionals determine the capability of cognitive radio to address a number of constraints of current radio design. Critical to understanding the operation of cognitive radio, the book develops an analytic model for a range of spectrum environments. Moreover, this unique resource offers unique insight into the application of dynamic spectrum access (DSA) to improve the performance of all classes of wireless devices. The book also represents an important shift in emphasis form the operation of individual communications links, to an examination of the aggregate capability of dense networks, and the fundamental difference between strategies that optimize link operation, as compared to aggregate performance. DVD Included: Contains six sample cognitive radio environments and closed form approximations of these environments in MATLAB file format, as well as full-color graphics for all figures. This enables practitioners to reproduce the analysis provided in the book, perform the exercises in each chapter, fully examine the graphic examples, and extend the work through independent investigation and research.
Table Of Contents
Foreword ; Preface ; Introduction to Cognitive Radio - Motivation for Cognitive Radio. Objectives of This Book. Summary of Cognitive Radio Conceptual Development. Cognitive Radio Capability Metrics. General Assessment Methodology. A Cognitive Radio Use Case. Structure of This Book. ; A GeneralIntroduction to Radio Design and Operations -Introduction to Radio Design. Baseline Superheterodyne Receiver Design. Nontraditional Receiver Design. Signal Processing. Impact of Noise on Signal Channels. Impact of Out-of-Band and Adjacent Channel Signals. Radio Signal Propagation. Emerging RF Technologies. ; Conventional and Dynamic Spectrum Management Principles - Importance of Spectrum Access to Cognitive Radio Concepts. Conventional Spectrum Management Principles and Practices. Dynamic Spectrum Access Principles. Other Spectrum Management Considerations. Emerging DSA OpportunityTV White Space.รน DSA 's Role in Cognitive Radio. ; A ShortIntroduction to Cognitive Radio Development - Overview. Objective. Implementation. Experimentation. Policy and Standards Infrastructure. ; General Operating Concept of a Cognitive Radio - Overview of Cognitive Radio Operation. Band, Frequency, and Emission Characterization and Selection. A General Model of Cognitive Radio Decision Making. Algorithmic Description of Decision Processing. ; Characterizing Spectrum Occupancy of Signaling Bandwidths -Introduction. Spectrum Occupancy and Access Characteristics. Analytic Model of Spectrum Occupancy. Closed-Form Estimate of Spectrum Occupancy. ; Characterizing High-Energy Environments - Distribution of High-Energy Signals. Analytic Treatment of High-Energy Distribution. Analytic Generation of Front-End Distributions. Application of Spectrum Distribution Parameters. ; Synthesizing Distribution Characteristics of Arbitrary Spectrum Environments - Need for Generalized Environmental Expressions. Generalized Determinations of Spectrum Occupancy. Generalized Determinations of High-Energy Spectrum Characteristics. Example of Spectrum Distribution Synthesis. Summary. ; Analysis of Spectrum Occupancy and False Alarm Rates - Time-Domain Considerations of Spectrum Occupancy. The Possibility of False Alarms. Methods for Reducing the Effect of False Alarm Rate. ; Noise Floor Elevation Due to Intermodulation - Phenomenology of Front-End Intermodulation. Analysis of Spectrum Environments. Front-End Linearity Adaptation Evaluation Metrics. ; Front-End Linearity Management Algorithms -Introduction to Front-End Linearity Management. Pick Quietest Band First Strategy. Marginal Noise Impact Strategy. Front-End Linearity Management Benefits. Reduction in Probability of Front-End Overload. Reduction of Front-End Noise Floor Elevation. Front-End Energy Management Conclusions. ; Selection of Channels to Minimize the Environmental Noise Floor -Introduction. Noise Floor Reference Evaluation Metric. Noise Floor Management Algorithms and Methods. Noise Floor Management Benefits. ; Achieving Interference Tolerance in Cognitive Radios - Interference and Cognitive Radio. Dynamic Spectrum Access Role in Interference Avoidance and Tolerance. Spectrum Management Analysis Cases. Analysis Approach and Assumptions. ; Analysis of Interfering and Noninterfering Wireless Operation - Impact of Spectrum Assignment Methodology. Interference-Free DSA Operation. Interference-Tolerant DSA Operation. Dynamic Spectrum Access Benefits. Dynamic Spectrum Access Conclusions. ; Minimizing the Spatial Interference Footprint by Cognitive Radio - Spatial Footprint Management Objectives. Spectral Footprint Reference Evaluation Metrics. Alpha Aware Waveform Selection Principles. ; Determination of the Density of Cognitive Radio Networks - DSA and Spectral Footprint Management Impacts on Network Scaling. Classical Model of MANET Scaling. DSA-Based Scaling Analysis. Computation of Density. DSA Network Scaling Conclusions.; Network Layer Performance Implications of Cognitive Radio - Implications on Network-Level Decision Making. The Open System Interconnection Reference Model. Dynamic Bandwidth Topology. Cognitive Radio Enabled Dynamic Networks. Network Topology. Quantitative Impacts of Multitransceiver Nodes. ; Cognitive Radio Application of Content-Based Networking - General Principles of Content-Based Networking. DTN as a Metaphor for Content-Based Networks.Introduction of Content Networking into Cognitive Radio Systems. Infrastructureless Networking. Quantitative Effects of Content Management. Content and Infrastructure Conclusion. ; Policy and Decision Making in Cognitive Radios - Implementation Approaches for Cognitive Radios. Overview of Policy Processing Objectives. Example Policy Processing Architecture. Policy Reasoning Technical Issues. Policy Representation. First-Order Predicate Calculus Policy Expressions. Managing the Decision Making of a Cognitive Radio. Overhead Costs of Cognitive Radio Implementation. Summary. ; Performance, Reliability, and Component Trades - Overview of Cognitive Radio Analysis. Reduction in Hardware Requirements. Increased Cognitive Radio Performance. Fungibility of Benefits. Conclusions. ; Large-Scale System Experiments and Demonstrations - Overview of Experimentation and Demonstration. DARPA neXt Generation (XG) Program. DARPA Wireless Network after Next (WNaN). Delay and Disruption Tolerance Networking. Conclusion. ; Desirable Cognitive Radio Implementation Technology Developments - Enabling Technology Areas for Cognitive Radio. Front-End Filters. RF CMOS. Policy Enforcement, Decision Making, and Air Interface Processing. ; Future Research Needs Towards a Cognitive Radio Ecosystem -Introduction. Density and Scaling. Cognitive Algorithms and Reasoning Expressions. Assuring Cognitive Radio Stability. Decision Theory in Cognitive Radio. Information Theory in Cognitive Radio. Security. Conclusions. ; Appendices. List of Acronyms and Abbreviations. List of Symbols. About the Author. Index ;
Author
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Preston Marshall
Preston Marshall is director at large at the Information Sciences Institute at the University of Southern California. He is a widely published author of books, journal articles, and conference proceedings in the communications field. Dr. Marshall holds an M.Sc. in information science from Lehigh University and a Ph.D. in electrical engineering from Trinity College in Dublin, Ireland.