1st Edition

Cognitive Radio Basic Concepts, Mathematical Modeling and Applications

    280 Pages 187 B/W Illustrations
    by CRC Press

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    Globally considered as one of the key technologies in the field of wireless communications, cognitive radio has the capability to solve the issues related to radio spectrum scarcity with the help of dynamic spectrum allocation.

    It discusses topics including software defined radio architecture, linear predictive coding, variance fractal compression, optimal Codec design for mobile communication system, digital modulation techniques, spectrum sensing in cognitive radio networks and orthogonal frequency division multiplexing in depth. The text is primarily written for senior undergraduate and graduate students, in learning experimental techniques, designing and implementing models in the field wireless communication.

    1. Introduction
    1.1 Introduction
    1.2 Need for Cognitive Radio
    1.3 Characteristics of Cognitive Radio
    1.4 Types of Cognitive Radio
    1.5 Underlay, Overlay and Interweave Transmission
    1.6 Advantages of Cognitive Radio
    1.7 Applications of Cognitive Radio
    1.8 Challenges in Cognitive Radio
    1.9 Simulation Tools of Cognitive Radio
    1.10 Conclusions

    2. Software Defined Radio
    2.1 Introduction
    2.2 Wireless Innovation Forum Tiers of SDR
    2.3 SDR Architecture
    2.4 Benefits of Using SDR
    2.5 Portability of SDR Waveform
    2.6 Testing of Interoperability of SDR
    2.7 SDR Security
    2.8 The Software Communications Architecture (SCA)
    2.9 Basis of SCA
    2.10 CORBA
    2.11 SCA Testing and Acquiescence
    2.12 Conclusions

    3. Source Coding for Audio and Speech Signals
    3.1 Introduction
    3.2 Linear Predictive Coding (LPC)
    3.3 Code Excited Linear Predictive Coding (CELP)
    3.4 Sub-band Coding
    3.5 Transform Coding
    3.6 Variance Fractal Compression
    3.7 Psychoacoustic Model and Daubechies Wavelets for Enhances  Speech Coder Performance
    3.8 Conclusions

    4. Coding Techniques to Improve BER in OFDM System
    4.1 Introduction
    4.2 OFDM System
    4.3 Performance Analysis of Uncoded & Coded OFDM System for WiMax Networks
    4.4 Turbo Coding in IEEE 802.16e WiMax
    4.5 Artificial Intelligence (AI) Enabled Turbo-Coded OFDM System for Improved BER Performance
    4.6 Conclusions

    5. Digital Modulation Techniques For Software Defined Radio Applications
    5.1 Introduction
    5.2 Digital Modulation Techniques
    5.3 Orthogonal Frequency Division Multiplex (OFDM)
    5.4 BER in Presence of Additive White Gaussian Noise
    5.5 Adaptive Modulation and Coding
    5.6 M-QAM for Digital Radio and Television Broadcasting (DVB-T, DVB-T2)
    5.7 Configurable Architecture of Modulation Techniques for SDR
    5.8 GMSK Modulation
    5.9  Orthogonal Frequency Division Multiplexing (OFDM)
    5.10 Comparison of Representative Modulation Schemes
    5.11 SDR Based Modulator Design and Implementation Using GNU Radio
    5.12 Conclusions

    6. Spectrum Sensing in Cognitive Radio Networks
    6.1 Introduction
    6.2 Conventional Methods of Spectrum Sensing
    6.3 Cooperative Spectrum Sensing
    6.4 The Two Hypothesis Model
    6.5 Hybrid Spectrum Sensing Method for Cognitive Radio
    6.6 Conclusions

    7. Codec Design
    7.1 Introduction
    7.2 Transciever System in WiMax
    7.3 Novel Approach for Codec Design in WiMax
    7.4 Implementation of Novel Codec Design in MATLAB
    7.5 Optimal Codec Design for Mobile Communication System
    7.6 Modelling and Simulation of Spectrum Sensing Smart Codec for Cognitive Radio
    7.7 Conclusions

    8. A Review of Security Issues in Cognitive Radio
    8.1 Introduction
    8.2 Cognitive Radio Basics
    8.3 Security Threats in Cognitive Radio
    8.4 Physical Layer Attacks
    8.5 Link Layer Attacks
    8.6 Network Layer Attacks
    8.7 Transport Layer Attack—Key Depletion
    8.8 Application Layer Attack
    8.9 Cross Layer Attacks
    8.10 Software Defined Radio (SDR) Security
    8.11 Conclusions

    9. Chaotic Communication Approach to Combat Primary User Emulation Attack in Cognitive Radio Networks
    9.1 Introduction
    9.2 Tagging Scheme of Test Signal
    9.3 The Test Signal Scheme for Identification of PUEA
    9.4 Conclusions

    10. Bi-Layer Approach to Mitigate Primary User Emulation Attack in Cognitive Radio Networks
    10.1 Introduction
    10.2 Two Layered Approach for Attack Discovery and Elimination
    10.3 Conclusions

    11. Cognitive Radio Based I-Voting System: An Application of Cognitive Radio Network
    11.1 Introduction
    11.2 Cognitive Radio—Touching the Inaccessible Ends
    11.3 Need of Voting Process Authentication and Voters Right Privacy
    11.4 The i-Voting System
    11.5 Conclusions

    12. Sparse Code Multiple Access (SCMA) for Cognitive Radio: An Introduction
    12.1 Introduction
    12.2 Sparse Code Multiple Access (SCMA)
    12.3 SCMA System Model
    12.4  Design of Codebook
    12.5 SCMA Link Implementation
    12.6 Codebook Design Methods
    12.7 Conclusions

    A.1 GNU Radio Installation Procedure
    A.2 GNU Radio Sample Programs from Amitec Laboratory Manual (www.amitec.co)



    Rajeshree Raut, Ranjit Sawant, Shriraghavan Madbushi