Log In
Or create an account ->
Imperial Library
Home
About
News
Upload
Forum
Help
Login/SignUp
Index
COVER
TITLE PAGE
COPYRIGHT PAGE
DEDICATION PAGE
PREFACE
PART I: INTRODUCTION TO COGNITIVE RADIOS
1 INTRODUCTION
1.1 INTRODUCTION
1.2 SIGNAL PROCESSING AND COGNITIVE RADIOS
1.3 SOFTWARE-DEFINED RADIOS
1.4 FROM SOFTWARE-DEFINED RADIOS TO COGNITIVE RADIOS
1.5 WHAT THIS BOOK IS ABOUT
1.6 SUMMARY
2 THE COGNITIVE RADIO
2.1 INTRODUCTION
2.2 A FUNCTIONAL MODEL OF A COGNITIVE RADIO
2.3 THE COGNITIVE RADIO ARCHITECTURE
2.4 THE IDEAL COGNITIVE RADIO
2.5 SIGNAL PROCESSING CHALLENGES IN COGNITIVE RADIOS
2.6 SUMMARY
3 COGNITIVE RADIOS AND DYNAMIC SPECTRUM SHARING
3.1 INTRODUCTION
3.2 INTERFERENCE AND SPECTRUM OPPORTUNITIES
3.3 DYNAMIC SPECTRUM ACCESS
3.4 DYNAMIC SPECTRUM LEASING
3.5 CHALLENGES IN DSS COGNITIVE RADIOS
3.6 COGNITIVE RADIOS AND FUTURE OF WIRELESS COMMUNICATIONS
3.7 SUMMARY
PART II: THEORETICAL FOUNDATIONS
4 INTRODUCTION TO DETECTION THEORY
4.1 INTRODUCTION
4.2 OPTIMALITY CRITERIA: BAYESIAN VERSUS NON-BAYESIAN
4.3 PARAMETRIC SIGNAL DETECTION THEORY
4.4 NONPARAMETRIC SIGNAL DETECTION THEORY
4.5 SUMMARY
5 INTRODUCTION TO ESTIMATION THEORY
5.1 INTRODUCTION
5.2 RANDOM PARAMETER ESTIMATION: BAYESIAN ESTIMATION
5.3 NONRANDOM PARAMETER ESTIMATION
5.4 SUMMARY
6 POWER SPECTRUM ESTIMATION
6.1 INTRODUCTION
6.2 PSD ESTIMATION OF A STATIONARY DISCRETE-TIME SIGNAL
6.3 BLACKMAN–TUKEY ESTIMATOR OF THE POWER SPECTRUM
6.4 OTHER PSD ESTIMATORS BASED ON MODIFIED PERIODOGRAMS
6.5 PSD ESTIMATION OF NONSTATIONARY DISCRETE-TIME SIGNALS
6.6 SPECTRAL CORRELATION OF CYCLOSTATIONARY SIGNALS
6.7 SUMMARY
7 MARKOV DECISION PROCESSES
7.1 INTRODUCTION
7.2 MARKOV DECISION PROCESSES
7.3 FINITE-HORIZON MDPs
7.4 INFINITE-HORIZON MDPs
7.5 PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES
7.6 SUMMARY
8 BAYESIAN NONPARAMETRIC CLASSIFICATION
8.1 INTRODUCTION
8.2 K-MEANS CLASSIFICATION ALGORITHM
8.3 X-MEANS CLASSIFICATION ALGORITHM
8.4 DIRICHLET PROCESS MIXTURE MODEL
8.5 BAYESIAN NONPARAMETRIC CLASSIFICATION BASED ON THE DPMM AND THE GIBBS SAMPLING
8.6 SUMMARY
PART III: SIGNAL PROCESSING IN COGNITIVE RADIOS
9 WIDEBAND SPECTRUM SENSING
9.1 INTRODUCTION
9.2 WIDEBAND SPECTRUM SENSING PROBLEM
9.3 WIDEBAND SPECTRUM SCANNING PROBLEM
9.4 SPECTRUM SEGMENTATION AND SUBBANDING
9.5 WIDEBAND SPECTRUM SENSING RECEIVER
9.6 SUBBAND SELECTION PROBLEM IN WIDEBAND SPECTRUM SENSING
9.7 A REDUCED COMPLEXITY OPTIMAL SUBBAND SELECTION FRAMEWORK WITH AN ALTERNATIVE REWARD FUNCTION
9.8 MACHINE-LEARNING AIDED SUBBAND SELECTION POLICIES
9.9 SUMMARY
10 SPECTRAL ACTIVITY DETECTION IN WIDEBAND COGNITIVE RADIOS
10.1 INTRODUCTION
10.2 OPTIMAL WIDEBAND SPECTRAL ACTIVITY DETECTION
10.3 WIDEBAND SPECTRAL ACTIVITY DETECTION
10.4 WAVELET TRANSFORM-BASED WIDEBAND SPECTRAL ACTIVITY DETECTION
10.5 WIDEBAND SPECTRAL ACTIVITY DETECTION IN NON-GAUSSIAN NOISE
10.6 WIDEBAND SPECTRAL ACTIVITY DETECTION WITH COMPRESSIVE SAMPLING
10.7 SUMMARY
11 SIGNAL CLASSIFICATION IN WIDEBAND COGNITIVE RADIOS
11.1 INTRODUCTION
11.2 SIGNAL CLASSIFICATION PROBLEM IN A WIDEBAND COGNITIVE RADIO
11.3 FEATURE EXTRACTION FOR SIGNAL CLASSIFICATION
11.4 A SIGNAL CLASSIFICATION ARCHITECTURE FOR A WIDEBAND COGNITIVE RADIO
11.5 BAYESIAN NONPARAMETRIC SIGNAL CLASSIFICATION
11.6 SEQUENTIAL BAYESIAN NONPARAMETRIC SIGNAL CLASSIFICATION
11.7 SUMMARY
12 PRIMARY SIGNAL DETECTION IN DSA COGNITIVE NETWORKS
12.1 INTRODUCTION
12.2 SPECTRUM SENSING PROBLEM IN DYNAMIC SPECTRUM SHARING CR NETWORKS
12.3 AUTONOMOUS SPECTRUM SENSING FOR DYNAMIC SPECTRUM SHARING
12.4 LIMITATIONS OF AUTONOMOUS SPECTRUM SENSING
12.5 COOPERATIVE SPECTRUM SENSING FOR DYNAMIC SPECTRUM SHARING
12.6 COOPERATIVE CHANNEL-STATE DETECTION
12.7 SUMMARY
13 SPECTRUM DECISION-MAKING IN DSA COGNITIVE NETWORKS
13.1 INTRODUCTION
13.2 PRIMARY CHANNEL DYNAMIC MODEL
13.3 SENSING DECISIONS IN DSS NETWORKS WITH AUTONOMOUS COGNITIVE RADIOS
13.4 SENSING DECISIONS IN COOPERATIVE DSS NETWORKS
13.5 SUMMARY
14 DYNAMIC SPECTRUM LEASING IN COGNITIVE RADIO NETWORKS
14.1 INTRODUCTION
14.2 DSL WITH DIRECT REWARDS TO PRIMARY USERS
14.3 DSL BASED ON ASYMMETRIC COOPERATION WITH PRIMARY USERS
14.4 SUMMARY
15 COOPERATIVE COGNITIVE COMMUNICATIONS
15.1 INTRODUCTION
15.2 COOPERATIVE SPECTRUM SENSING
15.3 COOPERATIVE SPECTRUM SENSING AND CHANNEL-ACCESS DECISIONS
15.4 COOPERATIVE COMMUNICATIONS STRATEGIES IN COGNITIVE RADIO NETWORKS
15.5 ASYMMETRIC COOPERATIVE RELAYING IN DSA COGNITIVE RADIOS
15.6 SUMMARY
16 MACHINE LEARNING IN COGNITIVE RADIOS
16.1 INTRODUCTION
16.2 ARTIFICIAL NEURAL NETWORKS
16.3 SUPPORT VECTOR MACHINES
16.4 REINFORCEMENT LEARNING
16.5 MULTIAGENT LEARNING
16.6 SUMMARY
APPENDIX A: NYQUIST SAMPLING THEOREM
APPENDIX B: A COLLECTION OF USEFUL PROBABILITY DISTRIBUTIONS
B.1 UNIVARIATE DISTRIBUTIONS
B.2 MULTIVARIATE DISTRIBUTIONS
APPENDIX C: CONJUGATE PRIORS
REFERENCES
INDEX
END USER LICENSE AGREEMENT
← Prev
Back
Next →
← Prev
Back
Next →