Cognitive Radio : Basic Concepts, Mathematical Modeling and Applications book cover
1st Edition

Cognitive Radio
Basic Concepts, Mathematical Modeling and Applications

ISBN 9780429353109
Published April 16, 2020 by CRC Press
280 Pages 187 B/W Illustrations

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Book Description

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.

Table of Contents

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 (


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Dr. Rajeshree Raut

Dr. Rajeshree Raut, Associate Professor, Electronics & Telecommunications, and Dean Students Affairs, Government College of Engineering, Nagpur is a graduate (1998) and post graduate (2002) from Govt. college of Engineering, Amravati and has done her Ph. D in Error Control Coding in year 2011. She has 20 years of Teaching Experience and Industrial Experience of 1.5yrs. Her achievements include , Nagpur City Mayor Award as Women Achiever, March 2019, ISTE National award for innovative Research in Engineering, 2017, ISTE National Award for Best Engineering teacher, 2013, RTM Nagpur University Best Teacher Award, 2011, IIFS New Delhi, Shiksha Ratna Award, 2011, more than 75 Research publications, 4-SCI, 20–Scopus journals,, having around 180 citations, H-index 8, i-10index 7, 5 patents published, delivered around 50 expert talks in Engineering Colleges. She has also delivered expert talks and chaired International Conferences abroad in countries like Mexico, Dubai and Malayasia. She is the Advisory and Editorial board member for many International Journals. She is currently guiding 3 research scholars. Six Research scholars have been awarded PhD under her guidance. She is the only and the first lady to represent ISTE Maharasthra & Goa Section, as SMC (Section Managing Committee). Currently she is Executive Council Member ISTE, New Delhi, She is the Fellow of IEI (Institute of Engineers India). She has authored a book on ‘Error Control Coding; For Performance Improvement in Cognitive Radio’. The Project guided by Dr. Raut, Tiled "DESIGN OF PSK SYSTEM IN COGNITIVE ENVIRONMENT", was awarded Best Engineering College Project, Award, for the Maharashtra State, Feb 2016 by ISTE. The sponsored projects successfully executed by her include projects from Amitec Electronics, Inotek Antennas Pvt. Ltd., and Cresolv Tech. Pvt. Ltd. in association with IID (Indian Institute for Drones). She is well known personality for her work in Cognitive Radio Communications.


Dr. Ranjit Sawant

Dr. Ranjit Sawant received his bachelor’s and master’s degree, both in Electronics Engineering from Shivaji University in Kolhapur and Amravati University in 1990 and 1995 respectively. He obtained his PhD from Sant Gadge Baba Amravati University, Amravati. He also holds an advanced diploma in Computer System Software & Analysis from Board of Technical Education Mumbai and was awarded gold medal for standing first in the order of merit. He is serving as Principal of Government Polytechnic Hingoli since july, 2018. Dr. Sawant has also worked in government polytechnic at Kolhapur and Miraj as head of Department of IT Engineering, Department of Electronics Engineering and Department of Computer Engineering. He has also served in Government College of Engineering, Amravati as lecturer for six and half years. He also has industry experience of 1.5 years as trainee engineer in Machinen Polugraph [Manu Graph], at MIDC Kolhapur.

Dr. Sawant is a fellow of IEI (Institute of Engineers India) and has worked as National Executive Council Member of ISTE, New Dehli, as secretary of Maharashtra and Goa section of ISTE New Delhi. He has also served on different committees of Board of Technical Education (MSBTE), DTE (Director of Technical Education) Mumbai and MSCIT (Maharashtra State Certificate in IT).

He has also delivered invited guest lectures in different engineering colleges in India and abroad and published various research papers at national and international level conferences and journals. He played a pivotal role in starting Diploma in Information Technology and B.Tech Electronics course of YCMOU.

He has also received a grant of rupees 15 lacs for setting up various IT labs from Maharashtra Vikas Vaidhanik Mandal and has to his credit the 'Achiever' award in workshop conducted by Advanced Institute of Management, Dubai.  

Dr. M. Shriraghavan

Dr. M. Shriraghavan holds bachelor's degree in Electronics Engineering from RTM Nagpur University (erstwhile Nagpur University), Nagpur, Maharashtra State and master's in Electronics & Communication Engineering from University College of Engineering, Osmania University, Hyderabad, Telangana State. He obtained his PhD in Electronics & Communication Engineering from Vignan's Foundation for Science, Technology & Research (VFSTR), Vadlamudi, Guntur District, and Andhra Pradesh. Dr. M. Shriraghavan is currently working as Assistant Professor in the Department of Electronics & Telecommunication Engineering at St. Vincent Pallotti College of Engineering and Technology, Nagpur, Maharashtra, India. His areas of interest include Cognitive Radio and Machine Learning for Wireless Communications.