Cover image for Quantitative Analysis of Cognitive Radio and Network Performance.
Quantitative Analysis of Cognitive Radio and Network Performance.
Title:
Quantitative Analysis of Cognitive Radio and Network Performance.
Author:
Marshall, Preston.
ISBN:
9781608070992
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (478 pages)
Contents:
Quantitative Analysis of Cognitive Radio and Network Performance -- Contents -- Foreword -- Preface -- Chapter 1 Introduction to Cognitive Radio -- 1.1 MOTIVATION FOR COGNITIVE RADIO -- 1.2 OBJECTIVES OF THIS BOOK -- 1.3 SUMMARY OF COGNITIVE RADIO CONCEPTUAL DEVELOPMENT -- 1.4 COGNITIVE RADIO CAPABILITY METRICS -- 1.5 GENERAL ASSESSMENT METHODOLOGY -- 1.6 A COGNITIVE RADIO USE CASE -- 1.7 STRUCTURE OF THIS BOOK -- EXERCISES -- References -- Chapter 2 A General Introduction to Radio Design and Operations -- 2.1 INTRODUCTION TO RADIO DESIGN -- 2.2 BASELINE SUPERHETERODYNE RECEIVER DESIGN -- 2.2.1 Antenna -- 2.2.2 Preselector Filter -- 2.2.3 Low Noise Amplifier (LNA) -- 2.2.4 Local Oscillator (LO) -- 2.2.5 Mixer -- 2.2.6 Intermediate Frequency Filter -- 2.2.7 Demodulator -- 2.3 NONTRADITIONAL RECEIVER DESIGN -- 2.4 SIGNAL PROCESSING -- 2.4.1 Modulation -- 2.4.2 Error Detection and Correction -- 2.4.3 Architecture and Channel Access -- 2.5 IMPACT OF NOISE ON SIGNAL CHANNELS -- 2.6 IMPACT OF OUT-OF-BAND AND ADJACENT CHANNEL SIGNALS -- 2.7 RADIO SIGNAL PROPAGATION -- 2.7.1 Path Loss and Link Margins -- 2.7.2 Attenuating Effects -- 2.7.3 Multipath Effects -- 2.8 EMERGING RF TECHNOLOGIES -- 2.8.1 RF Integrated Circuits (RFIC) -- 2.8.2 Software-Defined Radio (SDR) -- EXERCISES -- References -- Chapter 3 Conventional and Dynamic Spectrum Management Principles -- 3.1 IMPORTANCE OF SPECTRUM ACCESS TO COGNITIVE RADIO CONCEPTS -- 3.2 CONVENTIONAL SPECTRUM MANAGEMENT PRINCIPLES ANDPRACTICES -- 3.2.1 Overview -- 3.2.2 Spectrum Allocations -- 3.2.3 Frequency Assignment -- 3.3 DYNAMIC SPECTRUM ACCESS PRINCIPLES -- 3.4 OTHER SPECTRUM MANAGEMENT CONSIDERATIONS -- 3.4.1 Assumed "Squatter's Rights" -- 3.4.2 Out-of-Band Effects -- 3.5 EMERGING DSA OPPORTUNITY-TV "WHITE SPACE" -- 3.6 DSA'S ROLE IN COGNITIVE RADIO -- EXERCISES -- References.

Chapter 4 A Short Introduction to Cognitive Radio Development -- 4.1 OVERVIEW -- 4.2 OBJECTIVE -- 4.2.1 Spectrum Sharing -- 4.2.2 Generalized Spectrum Sharing -- 4.2.3 Band-Specific Sharing -- 4.2.4 Link Operation Enhancement -- 4.2.5 Flexibility for Adaptive Networking and Upper Layers -- 4.2.6 User Behavior Analysis -- 4.3 IMPLEMENTATION -- 4.3.1 Learning and Genetic Algorithms -- 4.3.2 Declarative -- 4.3.3 Knowledge and Trust -- 4.4 EXPERIMENTATION -- 4.4.1 Equipment-Level Experimentation -- 4.4.2 System-Level Experimentation -- 4.5 POLICY AND STANDARDS INFRASTRUCTURE -- 4.5.1 Policy and Economics -- 4.5.2 Standards Development -- EXERCISES -- References -- Chapter 5 General Operating Concept of a Cognitive Radio -- 5.1 OVERVIEW OF COGNITIVE RADIO OPERATION -- 5.2 BAND, FREQUENCY, AND EMISSION CHARACTERIZATION ANDSELECTION -- 5.2.1 Overview -- 5.2.2 Physical Layer Opportunities -- 5.2.3 Network Topology Options -- 5.3 A GENERAL MODEL OF COGNITIVE RADIO DECISION MAKING -- 5.4 ALGORITHMIC DESCRIPTION OF DECISION PROCESSING -- EXERCISES -- References -- Chapter 6 Characterizing Spectrum Occupancy of Signaling Bandwidths -- 6.1 INTRODUCTION -- 6.2 SPECTRUM OCCUPANCY AND ACCESS CHARACTERISTICS -- 6.3 ANALYTIC MODEL OF SPECTRUM OCCUPANCY -- 6.4 CLOSED-FORM ESTIMATE OF SPECTRUM OCCUPANCY -- EXERCISES -- References -- Chapter 7 Characterizing High-Energy Environments -- 7.1 DISTRIBUTION OF HIGH-ENERGY SIGNALS -- 7.2 ANALYTIC TREATMENT OF HIGH-ENERGY DISTRIBUTION -- 7.3 ANALYTIC GENERATION OF FRONT-END DISTRIBUTIONS -- 7.4 APPLICATION OF SPECTRUM DISTRIBUTION PARAMETERS -- EXERCISES -- References -- Chapter 8 Synthesizing Distribution Characteristics of Arbitrary Spectrum Environments -- 8.1 NEED FOR GENERALIZED ENVIRONMENTAL EXPRESSIONS -- 8.2 GENERALIZED DETERMINATIONS OF SPECTRUM OCCUPANCY.

8.3 GENERALIZED DETERMINATIONS OF HIGH-ENERGY SPECTRUMCHARACTERISTICS -- 8.4 EXAMPLE OF SPECTRUM DISTRIBUTION SYNTHESIS -- 8.5 SUMMARY -- EXERCISES -- References -- Chapter 9 Analysis of Spectrum Occupancy and False Alarm Rates -- 9.1 TIME-DOMAIN CONSIDERATIONS OF SPECTRUM OCCUPANCY -- 9.2 THE POSSIBILITY OF FALSE ALARMS -- 9.3 METHODS FOR REDUCING THE EFFECT OF FALSE ALARMRATE -- EXERCISES -- References -- Chapter 10 Noise Floor Elevation Due to Intermodulation -- 10.1 PHENOMENOLOGY OF FRONT-END INTERMODULATION -- 10.2 ANALYSIS OF SPECTRUM ENVIRONMENTS -- 10.3 FRONT-END LINEARITY ADAPTATION EVALUATION METRICS -- 10.3.1 Probability of Front-End Overload -- 10.3.2 Intermodulation Induced Front-End Noise Elevation -- EXERCISES -- References -- Chapter 11 Front-End Linearity Management Algorithms -- 11.1 INTRODUCTION TO FRONT-END LINEARITY MANAGEMENT -- 11.2 PICK QUIETEST BAND FIRST STRATEGY -- 11.3 MARGINAL NOISE IMPACT STRATEGY -- 11.4 FRONT-END LINEARITY MANAGEMENT BENEFITS -- 11.5 REDUCTION IN PROBABILITY OF FRONT-END OVERLOAD -- 11.6 REDUCTION OF FRONT-END NOISE FLOOR ELEVATION -- 11.7 FRONT-END ENERGY MANAGEMENT CONCLUSIONS -- EXERCISES -- References -- Chapter 12 Selection of Channels to Minimize the Environmental Noise Floor -- 12.1 INTRODUCTION -- 12.2 NOISE FLOOR REFERENCE EVALUATION METRIC -- 12.3 NOISE FLOOR MANAGEMENT ALGORITHMS AND METHODS -- 12.4 NOISE FLOOR MANAGEMENT BENEFITS -- EXERCISES -- References -- Chapter 13 Achieving Interference Tolerance in Cognitive Radios -- 13.1 INTERFERENCE AND COGNITIVE RADIO -- 13.2 DYNAMIC SPECTRUM ACCESS ROLE IN INTERFERENCEAVOIDANCE AND TOLERANCE -- 13.3 SPECTRUM MANAGEMENT ANALYSIS CASES -- 13.4 ANALYSIS APPROACH AND ASSUMPTIONS -- 13.4.1 Communications Range and Receiver Characteristics -- 13.4.2 Mobility Characteristics -- 13.4.3 Propagation Characteristics -- 13.4.4 Operating Characteristics.

13.4.5 Analysis Approach -- 13.4.6 A Quantitative Example -- EXERCISES -- References -- Chapter 14 Analysis of Interfering and Noninterfering Wireless Operation -- 14.1 IMPACT OF SPECTRUM ASSIGNMENT METHODOLOGY -- 14.2 INTERFERENCE-FREE DSA OPERATION -- 14.3 INTERFERENCE-TOLERANT DSA OPERATION -- 14.4 DYNAMIC SPECTRUM ACCESS BENEFITS -- 14.5 DYNAMIC SPECTRUM ACCESS CONCLUSIONS -- EXERCISES -- References -- Chapter 15 Minimizing the Spatial Interference Footprint by Cognitive Radio -- 15.1 SPATIAL FOOTPRINT MANAGEMENT OBJECTIVES -- 15.2 SPECTRAL FOOTPRINT REFERENCE EVALUATION METRICS -- 15.3 a-AWARE WAVEFORM SELECTION PRINCIPLES -- EXERCISES -- References -- Chapter 16 Determination of the Density of Cognitive Radio Networks -- 16.1 DSA AND SPECTRAL FOOTPRINT MANAGEMENT IMPACTS ONNETWORK SCALING -- 16.2 CLASSICAL MODEL OF MANET SCALING -- 16.3 DSA-BASED SCALING ANALYSIS -- 16.4 COMPUTATION OF DENSITY -- 16.5 DSA NETWORK SCALING CONCLUSIONS -- EXERCISES -- References -- Chapter 17 Network Layer Performance Implications of Cognitive Radio -- 17.1 IMPLICATIONS ON NETWORK-LEVEL DECISION MAKING -- 17.2 THE OPEN SYSTEM INTERCONNECTION REFERENCE MODEL -- 17.3 DYNAMIC BANDWIDTH TOPOLOGY -- 17.4 COGNITIVE RADIO ENABLED DYNAMIC NETWORKS -- 17.5 NETWORK TOPOLOGY -- 17.6 QUANTITATIVE IMPACTS OF MULTITRANSCEIVER NODES -- EXERCISES -- References -- Chapter 18 Cognitive Radio Application of Content-Based Networking -- 18.1 GENERAL PRINCIPLES OF CONTENT-BASED NETWORKING -- 18.2 DTN AS A METAPHOR FOR CONTENT-BASED NETWORKS -- 18.3 INTRODUCTION OF CONTENTNETWORKING INTOCOGNITIVE RADIO SYSTEMS -- 18.4 INFRASTRUCTURELESS NETWORKING -- 18.5 QUANTITATIVE EFFECTS OF CONTENT MANAGEMENT -- 18.6 CONTENT AND INFRASTRUCTURE CONCLUSION -- EXERCISES -- References -- Chapter 19 Policy and Decision Making in Cognitive Radios -- 19.1 IMPLEMENTATION APPROACHES FOR COGNITIVE RADIOS.

19.2 OVERVIEW OF POLICY PROCESSING OBJECTIVES -- 19.3 EXAMPLE POLICY PROCESSING ARCHITECTURE -- 19.4 POLICY REASONING TECHNICAL ISSUES -- 19.5 POLICY REPRESENTATION -- 19.6 FIRST-ORDER PREDICATE CALCULUS POLICY EXPRESSIONS -- 19.7 MANAGING THE DECISION MAKING OF A COGNITIVE RADIO -- 19.7.1 Addressing Probabilistic Decisions, Belief, and Uncertainty -- 19.7.2 Decision Theory -- 19.8 OVERHEAD COSTS OF COGNITIVE RADIO IMPLEMENTATION -- 19.8.1 Environmental and Spectrum Sensing Resources -- 19.8.2 Digital Processing and Storage Requirements -- 19.8.3 Additional Communications for Awareness -- 19.9 SUMMARY -- EXERCISES -- References -- Chapter 20 Performance, Reliability, and Component Trades -- 20.1 OVERVIEW OF COGNITIVE RADIO ANALYSIS -- 20.2 REDUCTION IN HARDWARE REQUIREMENTS -- 20.2.1 Reduced Receive Energy Consumption -- 20.2.2 Transmit Energy Reduction -- 20.2.3 Reduction in Spectrum Requirements -- 20.2.4 Enabling Effective Utilization of Spectrum Markets -- 20.3 INCREASED COGNITIVE RADIO PERFORMANCE -- 20.3.1 Increase in Operational Availability -- 20.3.2 Decrease in Noise Floor Probability -- 20.3.3 Increased Operating Period/Reduced Energy Storage Mass -- 20.4 FUNGIBILITY OF BENEFITS -- 20.5 CONCLUSIONS -- EXERCISES -- References -- Chapter 21 Large-Scale System Experiments and Demonstrations -- 21.1 OVERVIEW OF EXPERIMENTATION AND DEMONSTRATION -- 21.2 DARPA NEXT GENERATION (XG) PROGRAM -- 21.2.1 XG Program Overview -- 21.2.2 XG Program Field Trials -- 21.2.3 XG Radio Design -- 21.3 DARPA WIRELESS NETWORK AFTER NEXT (WNAN) -- 21.3.1 WNaN Objectives -- 21.3.2 Notional Hardware Concept and Design -- 21.4 DELAY AND DISRUPTION TOLERANCE NETWORKING -- 21.4.1 DTN as a Vehicle for Content-Based Access -- 21.5 CONCLUSION -- EXERCISES -- References -- Chapter 22 Desirable Cognitive Radio Implementation Technology Developments.

22.1 ENABLING TECHNOLOGY AREAS FOR COGNITIVE RADIO.
Abstract:
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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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