Artificial Intelligence and Quantum Computing for Advanced Wireless Networks

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119790298
Total Pages : 884 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Artificial Intelligence and Quantum Computing for Advanced Wireless Networks by : Savo G. Glisic

Download or read book Artificial Intelligence and Quantum Computing for Advanced Wireless Networks written by Savo G. Glisic and published by John Wiley & Sons. This book was released on 2022-04-11 with total page 884 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A comprehensive presentation of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of artificial intelligence (AI) for planning network deployment, optimization, and dynamic control. Machine learning algorithms are now often used to predict traffic and network state in order to reserve resources for smooth communication with high reliability and low latency. In Artificial Intelligence and Quantum Computing for Advanced Wireless Networks, the authors deliver a practical and timely review of AI-based learning algorithms, with several case studies in both Python and R. The book discusses the game-theory-based learning algorithms used in decision making, along with various specific applications in wireless networks, like channel, network state, and traffic prediction. Additional chapters include Fundamentals of ML, Artificial Neural Networks (NN), Explainable and Graph NN, Learning Equilibria and Games, AI Algorithms in Networks, Fundamentals of Quantum Communications, Quantum Channel, Information Theory and Error Correction, Quantum Optimization Theory, and Quantum Internet, to name a few. The authors offer readers an intuitive and accessible path from basic topics on machine learning through advanced concepts and techniques in quantum networks. Readers will benefit from: A thorough introduction to the fundamentals of machine learning algorithms, including linear and logistic regression, decision trees, random forests, bagging, boosting, and support vector machines An exploration of artificial neural networks, including multilayer neural networks, training and backpropagation, FIR architecture spatial-temporal representations, quantum ML, quantum information theory, fundamentals of quantum internet, and more Discussions of explainable neural networks and XAI Examinations of graph neural networks, including learning algorithms and linear and nonlinear GNNs in both classical and quantum computing technology Perfect for network engineers, researchers, and graduate and masters students in computer science and electrical engineering, Artificial Intelligence and Quantum Computing for Advanced Wireless Networks is also an indispensable resource for IT support staff, along with policymakers and regulators who work in technology.

Wireless Quantum Networks, Volume 2

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Author :
Publisher : Wiley-IEEE Press
ISBN 13 : 9781394168255
Total Pages : 0 pages
Book Rating : 4.1/5 (682 download)

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Book Synopsis Wireless Quantum Networks, Volume 2 by : Savo G. Glisic

Download or read book Wireless Quantum Networks, Volume 2 written by Savo G. Glisic and published by Wiley-IEEE Press. This book was released on 2023-06-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive description of the principles, algorithms, design technology, quantum machine learning and quantum physics in quantum computing and communications. Current work on quantum computers is motivated by the need for significantly faster and more powerful computers, and there are already in use so-called near-term quantum computers, with initial, reduced capabilities used for research and further enhancement of the technology. The outcome is distributed quantum computing which requires quantum networks to enable connections between such computers, which is a focus of this book. Moving from introductory to advanced level, this is a step-by-step approach, with numerous design examples throughout for students to work on. This is a stand-alone volume, and onward reading is available in Wireless Quantum Networks Volume 1: Intelligent Continuous Variable Technology. Topics covered in Volume 2 include: Quantum Key Distribution; Reinforcement Learning Based on Protocols; Satellite QN; Post-Quantum Cryptography; qubit Physics; Implementation Examples; and more.

Wireless Quantum Networks, Volume 1

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Author :
Publisher : Wiley-IEEE Press
ISBN 13 : 9781394168217
Total Pages : 0 pages
Book Rating : 4.1/5 (682 download)

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Book Synopsis Wireless Quantum Networks, Volume 1 by : Savo G. Glisic

Download or read book Wireless Quantum Networks, Volume 1 written by Savo G. Glisic and published by Wiley-IEEE Press. This book was released on 2023-06-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive description of the principles, algorithms, design technology, quantum machine learning and quantum physics in quantum computing and communications. Unifying several disciplines in the field, especially computing and communication, the book also covers computing and artificial intelligence (quantum machine learning), quantum cyber security, quantum circuit design, and relative quantum physics phenomena. Based on the latest results in the field, enabling the reader/researcher to understand these interrelations of a complex system in practice, the book moves from introductory to advanced level, step by step, providing a self-contained text. Undergraduate and postgraduate students will find several DESIGN EXAMPLES to replace the classical concept of using “problems and solutions” addendums at the end of the chapters/book. This enables offering more sophisticated assignments for the teamwork of the students. This is a stand-alone volume, and onward reading is available in Volume 2 Quantum Vs Post Quantum Security/Algorithms and Design Technology. Topics covered in Volume 1 include: Visible Light Communication; Terahertz Communications; Optical Wireless Communications; Quantum Key Distribution over THz band; Deep Neural Networks; Quantum Network Routing and Technology Design; Quantum Machine Learning; and more.

Next-Generation Wireless Networks Meet Advanced Machine Learning Applications

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Author :
Publisher : IGI Global
ISBN 13 : 152257459X
Total Pages : 356 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Next-Generation Wireless Networks Meet Advanced Machine Learning Applications by : Com?a, Ioan-Sorin

Download or read book Next-Generation Wireless Networks Meet Advanced Machine Learning Applications written by Com?a, Ioan-Sorin and published by IGI Global. This book was released on 2019-01-25 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

Wireless Quantum Networks, 2 volume Set

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Author :
Publisher : Wiley-IEEE Press
ISBN 13 : 9781394194698
Total Pages : 0 pages
Book Rating : 4.1/5 (946 download)

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Book Synopsis Wireless Quantum Networks, 2 volume Set by : Savo G. Glisic

Download or read book Wireless Quantum Networks, 2 volume Set written by Savo G. Glisic and published by Wiley-IEEE Press. This book was released on 2023-06-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network

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Author :
Publisher : CRC Press
ISBN 13 : 1000688763
Total Pages : 258 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network by : Thiruselvan Subramanian

Download or read book Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network written by Thiruselvan Subramanian and published by CRC Press. This book was released on 2022-10-14 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum computing is a field in which advanced technologies like quantum communication, artificial intelligence and machine learning can be used to secure and speed up connectivity using quantum computers, quantum drones or quantum satellites. This book serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet and climate change mitigation, will need quantum information processing and quantum computation. This book deeply explores the importance of quantum computing in real-time applications. It may be used as a reference book for students in higher education, including undergraduate and graduate students, as well as researchers. Key features: Provides a clear insight into the Internet of Drones for academicians, postdoc fellows, research scholars, graduate and postgraduate students, industry fellows and software engineers Useful to professionals who seek information about the Internet of Drones, including experts in quantum computing and physics and post-quantum cryptography, as well as data scientists and data analysts Covers quantum computing and security for Unmanned Aerial Vehicles (UAV) or drones which are widely useful for applications such as military, government, and non-government systems Explores futuristic aspects of the Intenet of Drones to improve everyday living for ordinary people

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119640369
Total Pages : 272 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks by : Krishna Kant Singh

Download or read book Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks written by Krishna Kant Singh and published by John Wiley & Sons. This book was released on 2020-07-08 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.

6G: The Road to the Future Wireless Technologies 2030

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Publisher : CRC Press
ISBN 13 : 1000796736
Total Pages : 109 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis 6G: The Road to the Future Wireless Technologies 2030 by : Paulo Sergio Rufino Henrique

Download or read book 6G: The Road to the Future Wireless Technologies 2030 written by Paulo Sergio Rufino Henrique and published by CRC Press. This book was released on 2022-09-01 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the launch of Second-Generation Networks (2G), planning for each future mobile service was initiated many years before its commercial launch. In 2019, 5G Networks begun to be deployed commercially after almost ten years of planning. Similarly, the race for the 6G wireless networks that will be operational in 2030 has already started. To fulfill its potential in the upcoming decade, 6G will undoubtedly require an architectural orchestration based on the amalgamation of existing solutions and innovative technologies. The book will begin by evaluating the state of the art of all current mobile generations' while looking into their core building blocks. 6G implementation will require fundamental support from Artificial Intelligence (AI) and Machine Learning on the network's edge and core, including a new Radio Frequency (RF) spectrum. The 6G use cases will require advanced techniques for enabling the future wireless network to be human-centric, ensuring enhanced quality of experience (QoE) for most of its applications. The concept of Human Bond Communication Beyond 2050 (Knowledge Home) and Communication, Navigation, Sensing, and Services (CONASENSE) will also profit from future wireless communication. Terahertz domains will exploit the ultra-Massive Multiple Input Multiple Output Antennas (UM-MIMO) technologies to support Terabits' data throughputs.Moreover, optical wireless communications (OWC) will also come into play to support indoor and outdoor high-data rates. Further expansion of 6G core entities will support the novel concept of Society 5.0. Quantum computing processing and communications is also likely to be added into the 6G ecosystem with security managed by blockchain orchestration for a robust network.

Federated Learning for Future Intelligent Wireless Networks

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Publisher : John Wiley & Sons
ISBN 13 : 1119913918
Total Pages : 324 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Federated Learning for Future Intelligent Wireless Networks by : Yao Sun

Download or read book Federated Learning for Future Intelligent Wireless Networks written by Yao Sun and published by John Wiley & Sons. This book was released on 2023-12-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers deliver a robust and insightful collection of resources covering the foundational concepts and algorithms powering federated learning, as well as explanations of how they can be used in wireless communication systems. The editors have included works that examine how communication resource provision affects federated learning performance, accuracy, convergence, scalability, and security and privacy. Readers will explore a wide range of topics that show how federated learning algorithms, concepts, and design and optimization issues apply to wireless communications. Readers will also find: A thorough introduction to the fundamental concepts and algorithms of federated learning, including horizontal, vertical, and hybrid FL Comprehensive explorations of wireless communication network design and optimization for federated learning Practical discussions of novel federated learning algorithms and frameworks for future wireless networks Expansive case studies in edge intelligence, autonomous driving, IoT, MEC, blockchain, and content caching and distribution Perfect for electrical and computer science engineers, researchers, professors, and postgraduate students with an interest in machine learning, Federated Learning for Future Intelligent Wireless Networks will also benefit regulators and institutional actors responsible for overseeing and making policy in the area of artificial intelligence.

Artificial Intelligence for Autonomous Networks

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Publisher : CRC Press
ISBN 13 : 1351130145
Total Pages : 498 pages
Book Rating : 4.3/5 (511 download)

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Book Synopsis Artificial Intelligence for Autonomous Networks by : Mazin Gilbert

Download or read book Artificial Intelligence for Autonomous Networks written by Mazin Gilbert and published by CRC Press. This book was released on 2018-09-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care. With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.

An Introduction to Machine Learning

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Author :
Publisher : Blue Rose Publishers
ISBN 13 :
Total Pages : 258 pages
Book Rating : 4./5 ( download)

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Book Synopsis An Introduction to Machine Learning by : Vineeta Shrivastava

Download or read book An Introduction to Machine Learning written by Vineeta Shrivastava and published by Blue Rose Publishers. This book was released on 2023-02-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The First Edition of the book ''An Introduction to Machine Learning'' combines theory and practice, explaining important methods such as classical linear and logistic regression, deep learning, and neural network with a detailed explanation, all variants of models, suitable examples, and Python code snippets.

Wireless Algorithms, Systems, and Applications

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Publisher : Springer
ISBN 13 : 3030235971
Total Pages : 661 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Wireless Algorithms, Systems, and Applications by : Edoardo S. Biagioni

Download or read book Wireless Algorithms, Systems, and Applications written by Edoardo S. Biagioni and published by Springer. This book was released on 2019-06-20 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2019, held in Honolulu, HI, USA, in June 2019. The 43 full and 11 short papers presented were carefully reviewed and selected from 143 submissions. The papers deal with new ideas and recent advances in computer systems, wireless networks, distributed applications, and advanced algorithms that are pushing forward the new technologies for better information sharing, computer communication, and universal connected devices in various environments, especially in wireless networks.

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

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Publisher : CRC Press
ISBN 13 : 1000441857
Total Pages : 270 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by : K. Suganthi

Download or read book Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems written by K. Suganthi and published by CRC Press. This book was released on 2021-09-14 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems.

Wireless Quantum Networks, Volume 1

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Author :
Publisher : Wiley-IEEE Press
ISBN 13 : 9781394168224
Total Pages : 0 pages
Book Rating : 4.1/5 (682 download)

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Book Synopsis Wireless Quantum Networks, Volume 1 by : Savo G. Glisic

Download or read book Wireless Quantum Networks, Volume 1 written by Savo G. Glisic and published by Wiley-IEEE Press. This book was released on 2024-06-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the future of wireless communication with this groundbreaking guide Quantum physics and quantum communications will be integral to the future of computing and telecommunications technology. Quantum technologies have applications in a vast array of advanced technological fields, including wireless technology, where communication speed, encryption, and networking methods promise to be revolutionized by their introduction. For the next generation of engineers and telecommunications experts, a thorough understanding of this groundbreaking area of research will be critical. Wireless Quantum Networks, Volume 1 promises to help readers build this understanding with a comprehensive guide. It offers thorough coverage of the principles, algorithms, and design elements underlying, due to its implementability, Intelligent Continuous Variable Quantum Technology (ICVQT), which incorporates aspects of quantum machine learning, quantum computing, and advantages in practical implementations compared with Discrete Variable counterpart. The result can be used as a stand-alone introduction to this essential subject or as the first step in a broad-based quantum computing and communication education, supplemented by Volume 2 of this series. Wireless Quantum Networks, Volume 1 readers will also find: Detailed treatment of topics including Quantum Information Theory, Deep Quantum Neural Networks, Entanglement, Quantum Network (QN) Routing, QN Topology design, Quantum Coding Theory, Quantum Computing Gates Libraries, and more Discussions grounded in the latest research, moving naturally from introductory to advanced proficiency Design examples within each chapter Wireless Quantum Networks Volume 1 is a must for computer scientists, engineers, and researchers interested in quantum communications, as well as advanced undergraduate and graduate students looking for a grounding in the subject.

Wireless Communication with Artificial Intelligence

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Author :
Publisher : CRC Press
ISBN 13 : 1000645320
Total Pages : 369 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Wireless Communication with Artificial Intelligence by : Anuj Singal

Download or read book Wireless Communication with Artificial Intelligence written by Anuj Singal and published by CRC Press. This book was released on 2022-09-16 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication. The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication. The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

Quantum Artificial Intelligence with Qiskit

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Publisher : CRC Press
ISBN 13 : 9781032448978
Total Pages : 0 pages
Book Rating : 4.4/5 (489 download)

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Book Synopsis Quantum Artificial Intelligence with Qiskit by : Andreas Wichert

Download or read book Quantum Artificial Intelligence with Qiskit written by Andreas Wichert and published by CRC Press. This book was released on 2024-01-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a cohesive overview of the field of QAI, providing the tools for readers to create and manipulate quantum programs on devices as accessible as a laptop computer.

AI and Blockchain Technology in 6G Wireless Network

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Author :
Publisher : Springer Nature
ISBN 13 : 9811928681
Total Pages : 263 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis AI and Blockchain Technology in 6G Wireless Network by : Malaya Dutta Borah

Download or read book AI and Blockchain Technology in 6G Wireless Network written by Malaya Dutta Borah and published by Springer Nature. This book was released on 2022-08-10 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights future research directions and latent solutions by integrating AI and Blockchain 6G networks, comprising computation efficiency, algorithms robustness, hardware development and energy management. This book brings together leading researchers in Academia and industry from diverse backgrounds to deliver to the technical community an outline of emerging technologies, advanced architectures, challenges, open issues and future directions of 6G networks. This book is written for researchers, professionals and students to learn about the integration of technologies such as AI and Blockchain into 6G network and communications. This book addresses the topics such as consensus protocol, architecture, intelligent dynamic resource management, security and privacy in 6G to integrate AI and Blockchain and new real-time application with further research opportunities.