Artificial Intelligence in Wireless Communications -- Contents -- Acknowledgments -- 1 Introduction to Cognitive Radio -- 1.3 Definition -- 1.4 Contributions -- 1.5 Contents -- References -- 1.1 Brief Concept of Cognitive Radio -- 1.2 Very Brief Cognitive Radio History -- 2 The Cognitive Engine: Artificial Intelligence for Wireless Communications -- 2.1 Cognitive Radio Design -- 2.2 Cognitive Engine Design -- 2.3 Component Descriptions -- 2.3.1 Sensors -- 2.3.2 Optimizer -- 2.3.3 Decision Maker -- 2.3.4 Policy Engine -- 2.3.5 Radio Framework -- 2.3.6 User Interface -- 2.3.7 Cognitive Controller Configuration -- 2.4 Artificial Intelligence in Wireless Communications -- 2.5 Artificial Intelligence Techniques -- 2.5.1 Neural Networks -- 2.5.2 Hidden Markov Models (HMM) -- 2.5.3 Fuzzy Logic -- 2.5.4 Evolutionary Algorithms -- 2.5.5 Case-Based Reasoning -- 2.6 Conclusions -- References -- 3 Overview and Basics of Software Defined Radios -- 3.1 Background -- 3.2 Benefits of Using SDR -- 3.3 Problems Faced by SDR -- 3.4 GNU Radio Design -- 3.4.1 The Universal Software Radio Peripheral -- 3.4.2 The USRP Version 2 -- 3.4.3 Flow Graphs -- 3.4.4 Parallel Programming in GNU Radio -- 3.4.5 Flow Graph for Simulation and Experimentation -- 3.4.6 Available Knobs and Meters -- 3.5 Conclusions -- References -- 4 Optimization of Radio Resources -- 4.1 Objective Space -- 4.1 Objective Space -- 4.2 Multiobjective Optimization: Objective Functions -- 4.2.1 Bit Error Rate (BER) -- 4.2.2 Bandwidth (Hz) -- 4.2 Multiobjective Optimization: Objective Functions -- 4.2.1 Bit Error Rate (BER) -- 4.2.2 Bandwidth (Hz) -- 4.2.3 Spectral Efficiency (bits/Hz) -- 4.2.4 Interference -- 4.2.5 Signal to Interference Plus Noise Ratio (SINR) -- 4.2.6 Throughput -- 4.2.7 Power -- 4.2.8 Computational Complexity -- 4.3 Multiobjective Optimization: A Different Perspective.

4.4 Multiobjective Analysis -- 4.4.1 Utility Functions -- 4.4.2 Population-Based Analysis -- 4.5 Conclusion -- References -- 5 Genetic Algorithms for Radio Optimization -- 5.1 A Brief Review -- 5.2 Simple Example: The Knapsack Problem -- 5.3 Multiobjective GA -- 5.4 Wireless System Genetic Algorithm -- 5.4.1 Details of Chromosome Structure -- 5.4.2 Objective Function Definition -- 5.4.3 Optimal Individual Selection -- 5.5 Conclusions -- References -- 6 Decision Making with Case-Based Learning -- 6.1 Case-Based Decision Theory -- 6.2 Cognitive Engine Architecture with CBDT -- 6.2.1 Memory and Forgetfulness -- 6.3 Cognitive Engine Case-Based Decision Theory Implementation -- 6.4 Simple CBDT Example -- 6.5 Cognitive Radio Example Problem -- 6.6 Conclusion -- References -- 7 Cognitive Radio Networking and Rendezvous -- 7.1 Waveform Distribution and Rendezvous -- 7.2 Cognitive Radio Networks -- 7.3 Distributed AI -- 7.4 Conclusions -- References -- 8 Example Cognitive Engine -- 8.1 Functional System Design -- 8.2 Simple Simulations -- 8.2.1 BER-only -- 8.2.2 BER and Power (1) -- 8.2.3 BER and Power (2) -- 8.2.4 Throughput -- 8.2.5 Waveform Efficiency -- 8.3 Interference Environment -- 8.3.1 Interference (1): Simple BER Tests -- 8.3.2 Interference (2): Sensor Problems -- 8.3.3 Interference (3): Correcting for Sensors -- 8.3.4 Interference (4): Throughput with Low Spectral Footprint -- 8.4 Case-Based Decision Theory Example -- 8.5 Over-the-Air Results -- 8.6 Conclusions -- References -- 9 Conclusions -- 9.1 Application to Multicarrier Waveforms -- 9.2 Strategies, Not Waveforms -- 9.3 Enhanced Learning Systems -- 9.4 Final Thoughts -- References -- A Analysis of GNU Radio Simulation -- A.1 Bit Error Rate Plots -- B Additional BER Formulas -- References -- C OProfile and Results of ProfilingGNU Radio -- C.1 Introduction to OProfile.

C.2 OProfile Results of GNU Radio Modulators -- References -- D XML and DTD Representation of the Cognitive Components -- D.1 Waveform Representation -- D.2 Objectives Sensor -- D.3 Meters Sensor -- D.4 PSD Sensor -- D.5 Cognitive Controller Configuration -- E Optimal Solutions of Knapsack Problems -- F Simulation of an SINR Sensor -- F.1 Sensor Design -- F.2 Simulation -- F.3 MATLAB Code -- F.3.1 SINR Calculation Function -- F.3.2 Plotting SINR with No Interference Power -- F.3.3 Plotting SINR with Varying Interference Power -- Acronyms -- About the Authors -- Index.