Description
Taylor & Francis Cognitive Radio Basic Concepts Mathematical Modeling And Applications by Rajeshree Raut
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. Introduction1.1 Introduction1.2 Need for Cognitive Radio1.3 Characteristics of Cognitive Radio1.4 Types of Cognitive Radio1.5 Underlay, Overlay and Interweave Transmission1.6 Advantages of Cognitive Radio1.7 Applications of Cognitive Radio1.8 Challenges in Cognitive Radio1.9 Simulation Tools of Cognitive Radio1.10 Conclusions2. Software Defined Radio2.1 Introduction2.2 Wireless Innovation Forum Tiers of SDR2.3 SDR Architecture2.4 Benefits of Using SDR2.5 Portability of SDR Waveform2.6 Testing of Interoperability of SDR2.7 SDR Security2.8 The Software Communications Architecture (SCA)2.9 Basis of SCA2.10 CORBA2.11 SCA Testing and Acquiescence2.12 Conclusions3. Source Coding for Audio and Speech Signals3.1 Introduction3.2 Linear Predictive Coding (LPC)3.3 Code Excited Linear Predictive Coding (CELP)3.4 Sub-band Coding3.5 Transform Coding3.6 Variance Fractal Compression3.7 Psychoacoustic Model and Daubechies Wavelets for Enhances Speech Coder Performance3.8 Conclusions4. Coding Techniques to Improve BER in OFDM System4.1 Introduction4.2 OFDM System4.3 Performance Analysis of Uncoded & Coded OFDM System for WiMax Networks4.4 Turbo Coding in IEEE 802.16e WiMax4.5 Artificial Intelligence (AI) Enabled Turbo-Coded OFDM System for Improved BER Performance4.6 Conclusions5. Digital Modulation Techniques For Software Defined Radio Applications5.1 Introduction5.2 Digital Modulation Techniques5.3 Orthogonal Frequency Division Multiplex (OFDM)5.4 BER in Presence of Additive White Gaussian Noise5.5 Adaptive Modulation and Coding5.6 M-QAM for Digital Radio and Television Broadcasting (DVB-T, DVB-T2)5.7 Configurable Architecture of Modulation Techniques for SDR5.8 GMSK Modulation5.9 Orthogonal Frequency Division Multiplexing (OFDM)5.10 Comparison of Representative Modulation Schemes5.11 SDR Based Modulator Design and Implementation Using GNU Radio5.12 Conclusions6. Spectrum Sensing in Cognitive Radio Networks6.1 Introduction6.2 Conventional Methods of Spectrum Sensing6.3 Cooperative Spectrum Sensing6.4 The Two Hypothesis Model6.5 Hybrid Spectrum Sensing Method for Cognitive Radio6.6 Conclusions7. Codec Design7.1 Introduction7.2 Transciever System in WiMax7.3 Novel Approach for Codec Design in WiMax7.4 Implementation of Novel Codec Design in MATLAB7.5 Optimal Codec Design for Mobile Communication System7.6 Modelling and Simulation of Spectrum Sensing Smart Codec for Cognitive Radio7.7 Conclusions8. A Review of Security Issues in Cognitive Radio8.1 Introduction8.2 Cognitive Radio Basics8.3 Security Threats in Cognitive Radio8.4 Physical Layer Attacks8.5 Link Layer Attacks8.6 Network Layer Attacks8.7 Transport Layer Attack-Key Depletion8.8 Application Layer Attack8.9 Cross Layer Attacks8.10 Software Defined Radio (SDR) Security8.11 Conclusions9. Chaotic Communication Approach to Combat Primary User Emulation Attack in Cognitive Radio Networks9.1 Introduction9.2 Tagging Scheme of Test Signal9.3 The Test Signal Scheme for Identification of PUEA9.4 Conclusions10. Bi-Layer Approach to Mitigate Primary User Emulation Attack in Cognitive Radio Networks10.1 Introduction10.2 Two Layered Approach for Attack Discovery and Elimination10.3 Conclusions11. Cognitive Radio Based I-Voting System: An Application of Cognitive Radio Network11.1 Introduction11.2 Cognitive Radio-Touching the Inaccessible Ends11.3 Need of Voting Process Authentication and Voters Right Privacy11.4 The i-Voting System11.5 Conclusions12. Sparse Code Multiple Access (SCMA) for Cognitive Radio: An Introduction12.1 Introduction12.2 Sparse Code Multiple Access (SCMA)12.3 SCMA System Model12.4 Design of Codebook12.5 SCMA Link Implementation12.6 Codebook Design Methods12.7 ConclusionsAppendicesA.1 GNU Radio Installation ProcedureA.2 GNU Radio Sample Programs from Amitec Laboratory Manual (www.amitec.co)Index