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Author:   Pallavi Sapkale (D.Y. Patil University, India) ,  Shilpa Mehta (Auckland University of Technology, New Zealand) ,  S. Balamurugan (Intelligent Research Consultancy Services (iRCS), India)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Scrivener
ISBN:  

9781394238088

ISBN 10:   1394238088
Pages:   464
Publication Date:   15 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Preface xix Acknowledgement xxiii Part I: Introduction 1 1 Introduction to Wireless Communication and Transition from 1G to 6G 3 Krupali Dhawale, Pranali Bhope, Kunika Dhapodkar and Sejal Kumbhare 1.1 Introduction to Wireless Communication 4 1.2 Generations of Wireless Communication 8 1.3 1G to 4G: Evolution of Wireless Standards 15 1.4 Industry and Research Initiatives for 6G 22 2 The State-of-the-Art and Future Visioning 6G Wireless Network 29 Payal Bansal 2.1 Introduction 30 2.2 Handover Management in 6G 34 2.3 Two-Tier Network Handover Skipping 43 Part II: Quantum Computing 55 3 Introduction to Quantum Computing 57 Shilpa Mehta and Celestine Iwendi 3.1 Introduction 57 3.2 Quantum Gates 62 3.3 Quantum Algorithms 64 3.4 Quantum Hardware and Software 72 3.5 Applications 75 3.6 Challenges of Quantum Computing 78 3.7 Current State-of-the-Art 79 3.8 Summary and Future Scope 85 4 Quantum-Secured Concealed Identifier for 6G Technology 89 Pratham Desai and Dipali Kasat 4.1 Quantum Mechanical Properties for Security 90 4.2 Quantum Key Distribution Technique (QKD) 96 4.3 BB84 Algorithm 96 4.4 Concept of Identifiers 97 4.5 Drawbacks of Classical Algorithms 99 4.6 Quantum Concealed Identifiers for 6G Technology 100 4.7 A Post-Quantum SUCI for 6G 105 4.8 Comparison Between the Existing Schemes 111 5 Quantum Cryptography: Present and Future 6G 117 Dhananjay Manohar Dakhane, Vaibhav Eknath Narawade and Pallavi Sapkale 5.1 Introduction 117 5.2 Quantum Cryptography 119 5.3 Quantum Key Distribution 120 5.4 Post Quantum Cryptography 121 5.5 Conclusions 121 6 Network Intelligence with Quantum Computing for 6G 123 H. Bhoomeeswaran, G. Joshva Raj, J. Mangaiyarkkarasi and J. Shanthalakshmi Revathy 6.1 Introduction 124 6.2 Quantum Computing 127 6.3 Spintronic QC 127 6.4 Literature Survey 129 6.5 SHSTNO 130 6.6 Photonic QC 133 6.7 Conclusion 137 6.8 Future Scope 138 Part III: Machine Learning 141 7 Introduction to Machine Learning: Conceptualization, Implementation, and Research Perspective 143 Snehasis Dey 7.1 Introduction to Machine Learning: Conceptualization Perspective 144 7.2 A Dive Into Machine Learning: Implementation Perspective 151 Contents xi 7.3 Recent Trends in Machine Learning: Research Perspective 156 7.4 Conclusion 159 8 6G Wireless Networks: Pioneering with Machine Learning Technologies 161 Krupali Dhawale, Shraddha Jha, Mishri Gube, Shivraj Guduri and Khwaish Asati 8.1 Introduction 162 8.2 Introduction to 6G Wireless Networks and Machine Learning 162 8.3 Machine Learning Techniques for 6G Wireless Networks 171 8.4 Driven Network Management and Security 178 8.5 Challenges and Future Directions 182 8.6 Conclusion 185 9 Machine Learning–Based Communication and Network Automation: Advancements, Challenges, and Prospects 187 J. Shanthalakshmi Revathy and J. Mangaiyarkkarasi 9.1 Introduction 188 9.2 Advancements in Machine Learning for Communication and Network Automation 189 9.3 Challenges in Implementing Machine Learning for Network Automation 199 9.4 Prospects and Future Directions 206 9.5 Research and Development Trends 209 9.6 Conclusion 212 10 Empowering 6G Communication Systems: Harnessing Machine Learning for Advancements in Flexible and 3D-Printed Antennas 217 Duygu Nazan Gençoðlan and Shilpa Mehta 10.1 Introduction 218 10.2 Flexible and 3D-Printed Antennas 222 10.3 Challenges in 6G Antenna Design 224 10.4 Machine Learning for Antenna Design 225 10.5 Data-Driven Antenna Optimization 226 10.6 Topology Optimization with ML 227 10.7 Material Selection and Optimization 229 10.8 Simulation and Modeling with ML 230 10.9 Hardware-Software Co-Design for ML-Aided Antennas 231 10.10 Experimental Validation and Prototyping 232 10.11 Conclusion and Future Directions 232 10.12 Future Directions 233 11 Potential Communication in B5G Networks Through Hybrid Millimeter-Wave Beamforming and Machine Learning: Basics, Challenges, and Future Path 243 Snehasis Dey 11.1 Introduction 244 11.2 Literature Survey 245 11.3 HBF Open Challenges 251 11.4 Conclusion 258 12 Device-to-Device Communication in 6G Using Machine Learning 261 J. Shanthalakshmi Revathy, J. Mangaiyarkkarasi and J. Matcha Rani 12.1 Introduction 262 12.2 Fundamentals of Device-to-Device Communication 263 12.3 Evolution from Previous Generations 265 12.4 Role of Machine Learning in 6G D2D Communication 268 12.5 Applications of Machine Learning in D2D Communication Resource Allocation and Spectrum Management 273 12.6 Challenges and Solutions 275 12.7 Case Studies 277 12.8 Challenges and Future Scope 279 12.9 Conclusion 280 Part IV: Quantum Computing and Machine Learning 283 13 Integrating Quantum Computing and Machine Learning in 6G Networks 285 Ogobuchi D. Okey, Theodore T. Chiagunye, Henrietta U. Udeani, Ikechukwu Nicholas, Renata L. Rosa and Demóstenes R. Zegarra 13.1 Introduction 286 13.2 Background Study 288 13.3 Quantum Machine Learning Algorithms and Implementation Frameworks 294 13.4 Resource Allocation in QML-Enabled 6G Network 300 13.5 Security Challenges and Prospects in QML 6G 301 13.6 Limitations, Benefits, and Future Directions 303 13.7 Conclusion 305 14 A Quantum Computing Perspective in 6G Networks: The Challenge of Adaptive Network Intelligence 311 Pallavi Sapkale 14.1 Introduction 312 14.2 What is Network Intelligence in Quantum Computing? 313 14.3 How to Accomplish Network Intelligence 319 14.4 Quantum Computing Opportunities with 6G 319 14.5 Challenges and Research Scope in Quantum Computing with 6G 320 14.6 Conclusion 323 15 Role of QML in 6G Integrated Vehicular Networks 327 R. Palanivel, Muthulakshmi P., Snehasis Dey, Shilpa Mehta and Pallavi Sapkale 15.1 Introduction 328 15.2 Literature Survey 331 15.3 Methodology 332 15.4 Results and Discussion 344 15.5 Conclusion 346 Part V: Applications 349 16 Smart Irrigation Technique Using IoT Based on 5G 351 Jyoti B. Deone and Khan Rahat Afreen 16.1 Introduction 352 16.2 Related Work 353 16.3 5G Network on Smart Farming 357 16.4 Proposed Methodology 359 16.5 Working Modules of the System 360 16.6 Experimental Result Analysis and Working 361 16.7 Conclusion 364 17 Modeling and Development of Low-Cost Visible Light Communication System 367 Mrinmoyee Mukherjee, Kevin Noronha and Ravi Kumar Bandi 17.1 Learning Objectives 368 17.2 Introduction to VLC 368 17.3 VLC System Description 374 17.4 Experimental Implementation of the VLC System 382 17.5 Simulation and Modeling of the VLC System 392 References 418 Index 423

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Author Information

Pallavi Sapkale, PhD is an Assistant Professor, Ramrao Adik Institute of Technology, D.Y. Patil University, Navi Mumbai, Maharashtra, India, with more than 17 years of experience. She has published four books, more than 25 research articles in various international journals and conferences, four international patents, and 12 Indian patents. Her research focuses on quantum computing, machine learning, wireless communication, 5G mobility management, and next-generation networks like 6G. Shilpa Mehta, PhD is a Teaching Assistant at the Auckland University of Technology, New Zealand, with more than five years of teaching experience. She has worked on various interdisciplinary research projects and edited several internationally published books. Her research interests include radio frequency integrated circuits, RF front ends, optimization, Internet of Things, wireless communication, artificial intelligence, healthcare, radars, and smart cities. S. Balamurugan, PhD is the Director of Albert Einstein Engineering and Research Labs, Coimbatore, Tamilnadu, India. He has published more than 60 books, 300 articles in national and international journals and conferences, and 200 patents. He is also the Vice-Chairman of Renewable Energy Society of India (RESI). He also serves as a research consultant for many companies, startups, and micro-, small, and medium enterprises.

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