Artificial Intelligent Techniques For Wireless Communication And Networking PDF Download
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| Author | : R. Kanthavel |
| Publisher | : John Wiley & Sons |
| Total Pages | : 388 |
| Release | : 2022-02-24 |
| Genre | : Computers |
| ISBN | : 1119821789 |
Download Artificial Intelligent Techniques for Wireless Communication and Networking Book in PDF, ePub and Kindle
ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.
| Author | : Anuj Singal |
| Publisher | : CRC Press |
| Total Pages | : 369 |
| Release | : 2022-09-16 |
| Genre | : Technology & Engineering |
| ISBN | : 1000645320 |
Download Wireless Communication with Artificial Intelligence Book in PDF, ePub and Kindle
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.
| Author | : Thomas Warren Rondeau |
| Publisher | : Artech House |
| Total Pages | : 228 |
| Release | : 2009 |
| Genre | : Computers |
| ISBN | : 1607832356 |
Download Artificial Intelligence in Wireless Communications Book in PDF, ePub and Kindle
This cutting-edge resource offers practical overview of cognitive radio, a paradigm for wireless communications in which a network or a wireless node changes its transmission or reception parameters. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components. Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine. Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior.
| Author | : Vivek Kumar Singh |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024-11-30 |
| Genre | : Computers |
| ISBN | : 9781032657950 |
Download Intelligent Networks Book in PDF, ePub and Kindle
The book presents the latest developments in intelligent communication networks based on applicability from various domains of artificial intelligence and machine learning including channel modeling, model-based structure, channel prediction, and signal detection. It further explains important topics such as vehicular mobility modeling, human-centric network applications, security and privacy in social networks, and trust-based intelligent transportation systems. This book: Presents a model-based approach to constructing an effective network by using state-of-the-art artificial intelligent techniques. Discusses the theoretical and practical applications of channel prediction and signal detection. Introduces the fundamental concepts and application of vehicular networks in conjunction with artificial intelligence. Explores wireless communication network techniques enabled by human-centric applications, designed, and developed with artificial intelligence characteristics. Highlights the challenges in designing and developing an effective and intelligent communication network that can be applied in different domains of human activities for finding sustainable solutions. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and information technology.
| Author | : K. Suganthi |
| Publisher | : CRC Press |
| Total Pages | : 296 |
| Release | : 2021-09-14 |
| Genre | : Technology & Engineering |
| ISBN | : 1000441814 |
Download Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems Book in PDF, ePub and Kindle
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.
| Author | : Nur Zincir-Heywood |
| Publisher | : John Wiley & Sons |
| Total Pages | : 402 |
| Release | : 2021-10-12 |
| Genre | : Technology & Engineering |
| ISBN | : 1119675502 |
Download Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning Book in PDF, ePub and Kindle
COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning delivers a comprehensive overview of the impact of artificial intelligence (AI) and machine learning (ML) on service and network management. Beginning with a fulsome description of ML and AI, the book moves on to discuss management models, architectures, and frameworks. The authors also explore how AI and ML can be used in service management functions like the generation of workload profiles, service provisioning, and more. The book includes a handpicked selection of applications and case studies, as well as a treatment of emerging technologies the authors predict could have a significant impact on network and service management in the future. Statistical analysis and data mining are also discussed, particularly with respect to how they allow for an improvement of the management and security of IT systems and networks. Readers will also enjoy topics like: A thorough introduction to network and service management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models, including autonomic management, policy-based management, intent based management, and network virtualization-based management Discussions of AI and ML for architectures and frameworks, including cloud systems, software defined networks, 5G and 6G networks, and Edge/Fog networks An examination of AI and ML for service management, including the automatic generation of workload profiles using unsupervised learning Perfect for information and communications technology educators, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning will also earn a place in the libraries of engineers and professionals who seek a structured reference on how the emergence of artificial intelligence and machine learning techniques is affecting service and network management.
| Author | : George Mastorakis |
| Publisher | : IET |
| Total Pages | : 452 |
| Release | : 2021-04-21 |
| Genre | : Technology & Engineering |
| ISBN | : 1839530952 |
Download Intelligent Wireless Communications Book in PDF, ePub and Kindle
Aimed at researchers, engineers and scientists involved in the design and development of protocols and AI applications for wireless communication devices and networks, this edited book presents recent research and innovations in emerging AI methods and AI-powered mechanisms, and future perspectives in this field.
| Author | : Muhammad Khalil Afzal |
| Publisher | : CRC Press |
| Total Pages | : 267 |
| Release | : 2023-03-27 |
| Genre | : Computers |
| ISBN | : 1000841332 |
Download Data-Driven Intelligence in Wireless Networks Book in PDF, ePub and Kindle
Covers details on wireless communication problems, conducive for data-driven solutions Provides a comprehensive account of programming languages, tools, techniques, and good practices Provides an introduction to data-driven techniques applied to wireless communication systems Examines data-driven techniques, performance, and design issues in wireless networks Includes several case studies that examine data-driven solution for QoS in heterogeneous wireless networks
| Author | : Mohammed Usman |
| Publisher | : CRC Press |
| Total Pages | : 296 |
| Release | : 2020-12-28 |
| Genre | : Computers |
| ISBN | : 1000328945 |
Download Enabling Technologies for Next Generation Wireless Communications Book in PDF, ePub and Kindle
Enabling Technologies for Next Generation Wireless Communications provides up-to-date information on emerging trends in wireless systems, their enabling technologies and their evolving application paradigms. This book includes the latest trends and developments toward next generation wireless communications. It highlights the requirements of next generation wireless systems, limitations of existing technologies in delivering those requirements and the need to develop radical new technologies. It focuses on bringing together information on various technological developments that are enablers vital to fulfilling the requirements of future wireless communication systems and their applications. Topics discussed include spectrum issues, network planning, signal processing, transmitter, receiver, antenna technologies, channel coding, security and application of machine learning and deep learning for wireless communication systems. The book also provides information on enabling business models for future wireless systems. This book is useful as a resource for researchers and practitioners worldwide, including industry practitioners, technologists, policy decision-makers, academicians, and graduate students.
| Author | : Kumar, Karan |
| Publisher | : IGI Global |
| Total Pages | : 307 |
| Release | : 2023-06-05 |
| Genre | : Technology & Engineering |
| ISBN | : 166847350X |
Download Applications of Artificial Intelligence in Wireless Communication Systems Book in PDF, ePub and Kindle
The application of artificial intelligence technology to 5G wireless communications is now appropriate to address the design of optimized physical layers, complicated decision-making, network management, and resource optimization tasks within networks. In exploring 5G wireless technologies and communication systems, artificial intelligence is a powerful tool and a research topic with numerous potential fields of application that require further study. Applications of Artificial Intelligence in Wireless Communication Systems explores the applications of artificial intelligence for the optimization of wireless communication systems, including channel models, channel state estimation, beamforming, codebook design, signal processing, and more. Covering key topics such as neural networks, deep learning, and wireless systems, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
