Artificial Intelligence in Wireless Communications (Mobile Communications)

228 Pages·2009·5.05 MB·English

by  Thomas W. Rondeau

Artificial Intelligence in
Wireless Communications
For a listing of relatedArtechHouse titles,
turn to the back of this book.
Artificial Intelligence in
Wireless Communications
Thomas W. Rondeau
Charles W. Bostian
artechhouse.com
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ISBN 13: 978-1-60783-234-8
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10 9 8 7 6 5 4 3 2 1
Tomyparents, JoandMikeRondeau–TWR
Tomywife,FriedaBostian–CWB
Andtoallofourfriends, students, andcolleagues fortheirinsights,
inspiration, andencouragement.

Contents
Acknowledgments xiii
1 Introductionto CognitiveRadio 1
1.1 BriefConceptofCognitiveRadio 2
1.2 VeryBriefCognitiveRadioHistory 3
1.3 Definition 5
1.4 Contributions 6
1.5 Contents 8
References 8
2 TheCognitiveEngine:
ArtificialIntelligenceforWirelessCommunications 11
2.1 CognitiveRadioDesign 12
2.2 CognitiveEngineDesign 14
2.3 ComponentDescriptions 16
2.3.1 Sensors 16
2.3.2 Optimizer 19
2.3.3 DecisionMaker 20
2.3.4 PolicyEngine 20
2.3.5 RadioFramework 21
2.3.6 UserInterface 23
2.3.7 CognitiveController Configuration 23
vii
viii ArtificialIntelligenceinWirelessCommunications
2.4 ArtificialIntelligence inWirelessCommunications 24
2.5 ArtificialIntelligence Techniques 25
2.5.1 NeuralNetworks 26
2.5.2 HiddenMarkovModels(HMM) 27
2.5.3 FuzzyLogic 28
2.5.4 Evolutionary Algorithms 28
2.5.5 Case-BasedReasoning 28
2.6 Conclusions 29
References 30
3 OverviewandBasicsofSoftwareDefinedRadios 33
3.1 Background 34
3.2 BenefitsofUsingSDR 36
3.3 ProblemsFacedbySDR 38
3.4 GNURadioDesign 39
3.4.1 TheUniversalSoftwareRadioPeripheral 40
3.4.2 TheUSRPVersion2 41
3.4.3 FlowGraphs 41
3.4.4 ParallelProgramminginGNURadio 44
3.4.5 FlowGraphforSimulationandExperimentation 45
3.4.6 AvailableKnobsandMeters 47
3.5 Conclusions 50
References 51
4 Optimization ofRadioResources 53
4.1 ObjectiveSpace 53
4.2 Multiobjective Optimization: ObjectiveFunctions 55
4.2.1 BitErrorRate(BER) 56
4.2.2 Bandwidth(Hz) 61
4.2.3 SpectralEfficiency(bits/Hz) 62
4.2.4 Interference 63
4.2.5 SignaltoInterference PlusNoiseRatio(SINR) 64
4.2.6 Throughput 65
4.2.7 Power 66
4.2.8 Computational Complexity 67
4.3 Multiobjective Optimization: ADifferentPerspective 68
Contents ix
4.4 Multiobjective Analysis 68
4.4.1 UtilityFunctions 68
4.4.2 Population-Based Analysis 71
4.5 Conclusion 73
References 74
5 GeneticAlgorithmsfor RadioOptimization 77
5.1 ABriefReview 77
5.2 SimpleExample:TheKnapsackProblem 78
5.3 Multiobjective GA 84
5.4 Wireless SystemGeneticAlgorithm 86
5.4.1 DetailsofChromosomeStructure 88
5.4.2 ObjectiveFunctionDefinition 90
5.4.3 OptimalIndividual Selection 91
5.5 Conclusions 93
References 94
6 DecisionMakingwith Case-BasedLearning 97
6.1 Case-BasedDecisionTheory 98
6.2 CognitiveEngineArchitecture withCBDT 99
6.2.1 MemoryandForgetfulness 101
6.3 CognitiveEngineCase-BasedDecisionTheoryImplementation 102
6.4 SimpleCBDTExample 105
6.5 CognitiveRadioExampleProblem 113
6.6 Conclusion 117
References 118
7 CognitiveRadioNetworkingandRendezvous 119
7.1 WaveformDistribution andRendezvous 120
7.2 CognitiveRadioNetworks 121
7.3 Distributed AI 122
7.4 Conclusions 123
References 123