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E-grāmata: Flexible Adaptation in Cognitive Radios

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Flexible Adaptation in Cognitive RadiosPalielināt
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This book provides an introduction to software-defined radio and cognitive radio, along with methodologies for applying knowledge representation, semantic web, logic reasoning and artificial intelligence to cognitive radio, enabling autonomous adaptation and flexible signaling. Readers from the wireless communications and software-defined radio communities will use this book as a reference to extend software-defined radio to cognitive radio, using the semantic technology described.

This volume provides an introduction to software-defined and cognitive radio. The text describes the methodologies for applying knowledge representation, semantic web, logic reasoning and artificial intelligence to cognitive radio, enabling autonomous adaptation and flexible signaling.
1 Introduction
1(10)
1.1 Cognitive Radio and Dynamic Spectrum Access
1(1)
1.2 Definitions of Cognitive Radio
2(1)
1.3 From Definitions to Expected Capabilities of Cognitive Radio
3(6)
1.3.1 Sensing and Information Collection
4(1)
1.3.2 Query by User or Other Radios
5(1)
1.3.3 Awareness and Reasoning
5(1)
1.3.4 Self-Awareness
6(1)
1.3.5 Autonomous Decision Capability
7(1)
1.3.6 Query Execution
8(1)
1.3.7 Command Execution
8(1)
1.4 Autonomous Adaptation/Optimization
9(1)
1.5 Organization of This Book
9(2)
2 Cognitive Radio Architecture
11(12)
2.1 Cognitive Radio Interfaces
11(2)
2.2 Cognitive Architectures and Processes
13(2)
2.3 Cognitive Architectures and Cognitive Radios
15(1)
2.4 Ontology Based Cognitive Radio
16(3)
2.5 Cognitive Radio Platform: Software-Defined Radio
19(4)
3 Collaborative Adaptation
23(6)
3.1 Cognitive Radio Agent
23(1)
3.2 Knobs and Meters
23(1)
3.3 Feedback-Control Model for Adaptation
24(2)
3.3.1 Adaptation Levels in Feedback Controller
25(1)
3.4 Role of Collaboration in Cognitive Radio Adaptation
26(3)
4 Signaling Options
29(8)
4.1 Fixed Protocol Vs. Flexible Signaling
29(1)
4.2 Signaling Message Format and Overhead
30(1)
4.3 Flexibility of Signaling Plans
31(6)
5 Agent Communication Language
37(8)
5.1 FIPA-ACL Message Structure
39(1)
5.2 Communicative Act Library
40(2)
5.3 Interaction Protocols
42(3)
6 An Example: Collaborative Link Adaptation
45(10)
6.1 Description of Communications Parameters
45(3)
6.1.1 Transmitter Parameters
45(1)
6.1.2 Receiver Parameters
46(1)
6.1.3 Parameters Summary
47(1)
6.2 Objective Function
48(1)
6.3 Constraints
49(2)
6.4 Summary of Objective Function and Constraints
51(1)
6.5 Query Vs. Estimation
52(1)
6.6 The Process of Link Adaptation
53(2)
7 Knowledge and Inference
55(12)
7.1 Knowledge-Less Vs. Knowledge-Rich
56(2)
7.2 Language Selection for Ontology-Based Radio
58(7)
7.2.1 Imperative Language Vs. Declarative Language
60(3)
7.2.2 Ontology Language
63(1)
7.2.3 Policy Language
64(1)
7.3 Structure of Ontology-Based Radio Reasoner
65(2)
8 Cognitive Radio Ontology
67(12)
8.1 Overview
67(1)
8.2 Principles of Modeling
67(11)
8.2.1 Top-Level Classes
67(3)
8.2.2 Further Distinction: Object and Process
70(2)
8.2.3 Part-Whole Relationship
72(4)
8.2.4 Attribute, Property, Parameter and Argument
76(2)
8.3 Summary
78(1)
9 Implementation of Collaborative Link Optimization
79(12)
9.1 Implementation Platform
79(2)
9.2 GNU/USRP
81(1)
9.3 Policies for Link Adaptation
81(4)
9.3.1 Policies for Link Establishment
82(2)
9.3.2 Policies for Link Adaptation
84(1)
9.4 Message Structure
85(2)
9.5 Message Exchange
87(4)
10 Evaluations
91(14)
10.1 Simulations of Policies in MATLAB
91(1)
10.2 Policy Execution Results
92(1)
10.3 Evaluation
92(13)
10.3.1 Performance Improvement
94(3)
10.3.2 Processing Delay
97(1)
10.3.3 Control Message Overhead
98(1)
10.3.4 Inference Capability
99(6)
A Typical Knobs and Meters
105(4)
B Cognitive Radio Ontology
109(38)
B.1 Object
109(28)
B.1.1 Alphabet and AlphabetTableEntry
109(1)
B.1.2 Channel
109(1)
B.1.3 ChannelModel
110(1)
B.1.4 Packet and Packet Field
110(2)
B.1.5 Signal
112(3)
B.1.6 Burst
115(1)
B.1.7 Sample
115(2)
B.1.8 Symbol
117(1)
B.1.9 PNCode
118(1)
B.1.10 Component
119(8)
B.1.11 TransceiverPreset, Transfer Functions and Constraints of Transfer Functions
127(5)
B.1.12 Detector and DetectionEvidence
132(1)
B.1.13 Network, Network Membership and Role
133(1)
B.1.14 Agent and Goal
134(3)
B.2 Process
137(7)
B.2.1 AIS and Protocol
137(1)
B.2.2 API and Method
138(1)
B.2.3 Tuning
138(1)
B.2.4 Transmitting
138(1)
B.2.5 Receiving
139(1)
B.2.6 SourceCoding
140(1)
B.2.7 ChannelCoding
140(1)
B.2.8 Modulation
140(1)
B.2.9 Multiplexing
140(1)
B.2.10 PNSequenceGeneration
141(1)
B.2.11 BehaviorModel
141(3)
B.3 Value
144(1)
B.4 Quantity and UnitOfMeasure
144(3)
References 147(6)
Index 153
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