Artificial Intelligence For Wireless Communication Systems

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Machine Learning for Future Wireless Communications

Author : Fa-Long Luo
Publisher : John Wiley & Sons
ISBN 13 : 1119562252
Total Pages : 490 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Machine Learning for Future Wireless Communications by : Fa-Long Luo

Download or read book Machine Learning for Future Wireless Communications written by Fa-Long Luo and published by John Wiley & Sons. This book was released on 2020-02-10 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.

Artificial Intelligent Techniques for Wireless Communication and Networking

Author : R. Kanthavel
Publisher : John Wiley & Sons
ISBN 13 : 1119821789
Total Pages : 388 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Artificial Intelligent Techniques for Wireless Communication and Networking by : R. Kanthavel

Download or read book Artificial Intelligent Techniques for Wireless Communication and Networking written by R. Kanthavel and published by John Wiley & Sons. This book was released on 2022-02-24 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence in Wireless Robotics

Author : Kwang-Cheng Chen
Publisher : CRC Press
ISBN 13 : 1000793044
Total Pages : 354 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence in Wireless Robotics by : Kwang-Cheng Chen

Download or read book Artificial Intelligence in Wireless Robotics written by Kwang-Cheng Chen and published by CRC Press. This book was released on 2022-09-01 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robots, autonomous vehicles, unmanned aerial vehicles, and smart factory, will significantly change human living style in digital society. Artificial Intelligence in Wireless Robotics introduces how wireless communications and networking technology enhances facilitation of artificial intelligence in robotics, which bridges basic multi-disciplinary knowledge among artificial intelligence, wireless communications, computing, and control in robotics. A unique aspect of the book is to introduce applying communication and signal processing techniques to enhance traditional artificial intelligence in robotics and multi-agent systems. The technical contents of this book include fundamental knowledge in robotics, cyber-physical systems, artificial intelligence, statistical decision and Markov decision process, reinforcement learning, state estimation, localization, computer vision and multi-modal data fusion, robot planning, multi-agent systems, networked multi-agent systems, security and robustness of networked robots, and ultra-reliable and low-latency machine-to-machine networking. Examples and exercises are provided for easy and effective comprehension. Engineers wishing to extend knowledge in the robotics, AI, and wireless communications, would be benefited from this book. In the meantime, the book is ready as a textbook for senior undergraduate students or first-year graduate students in electrical engineering, computer engineering, computer science, and general engineering students. The readers of this book shall have basic knowledge in undergraduate probability and linear algebra, and basic programming capability, in order to enjoy deep reading.

Artificial Intelligence in Wireless Communications

Author : Thomas Warren Rondeau
Publisher : Artech House
ISBN 13 : 1607832356
Total Pages : 228 pages
Book Rating : 4.6/5 (78 download)

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Book Synopsis Artificial Intelligence in Wireless Communications by : Thomas Warren Rondeau

Download or read book Artificial Intelligence in Wireless Communications written by Thomas Warren Rondeau and published by Artech House. This book was released on 2009 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence

Author : Marco Antonio Aceves-Fernandez
Publisher : BoD – Books on Demand
ISBN 13 : 178923364X
Total Pages : 466 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Artificial Intelligence by : Marco Antonio Aceves-Fernandez

Download or read book Artificial Intelligence written by Marco Antonio Aceves-Fernandez and published by BoD – Books on Demand. This book was released on 2018-06-27 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.

Applications of Machine Learning in Wireless Communications

Author : Ruisi He
Publisher : Telecommunications
ISBN 13 : 1785616579
Total Pages : 491 pages
Book Rating : 4.7/5 (856 download)

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Book Synopsis Applications of Machine Learning in Wireless Communications by : Ruisi He

Download or read book Applications of Machine Learning in Wireless Communications written by Ruisi He and published by Telecommunications. This book was released on 2019-08 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed and comprehensive reference considers how to combine the disciplines of wireless communications and machine learning. Coverage includes channel modelling, signal estimation and detection, energy efficiency, cognitive radios, wireless sensor networks, vehicular communications and wireless multimedia communications.

Wireless AI

Author : K. J. Ray Liu
Publisher : Cambridge University Press
ISBN 13 : 1108497861
Total Pages : 623 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Wireless AI by : K. J. Ray Liu

Download or read book Wireless AI written by K. J. Ray Liu and published by Cambridge University Press. This book was released on 2019-10-03 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: An innovative and groundbreaking text explaining how wireless AI can determine position, sense motion and vital signs, and identify events and people.

Enabling Technologies for Next Generation Wireless Communications

Author : Mohammed Usman
Publisher : CRC Press
ISBN 13 : 1000328945
Total Pages : 296 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Enabling Technologies for Next Generation Wireless Communications by : Mohammed Usman

Download or read book Enabling Technologies for Next Generation Wireless Communications written by Mohammed Usman and published by CRC Press. This book was released on 2020-12-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applications of Artificial Intelligence in Wireless Communication Systems

Author : Kumar, Karan
Publisher : IGI Global
ISBN 13 : 166847350X
Total Pages : 307 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Applications of Artificial Intelligence in Wireless Communication Systems by : Kumar, Karan

Download or read book Applications of Artificial Intelligence in Wireless Communication Systems written by Kumar, Karan and published by IGI Global. This book was released on 2023-06-05 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Wireless Communications

Author : George Mastorakis
Publisher : IET
ISBN 13 : 1839530952
Total Pages : 452 pages
Book Rating : 4.8/5 (395 download)

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Book Synopsis Intelligent Wireless Communications by : George Mastorakis

Download or read book Intelligent Wireless Communications written by George Mastorakis and published by IET. This book was released on 2021-04-21 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

Author : E. S. Gopi
Publisher : Springer Nature
ISBN 13 : 9811602891
Total Pages : 643 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication by : E. S. Gopi

Download or read book Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication written by E. S. Gopi and published by Springer Nature. This book was released on 2021-05-28 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

Wireless Communication with Artificial Intelligence

Author : Anuj Singal
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.

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Author : Krishna Kant Singh
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.

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

Author : K. Suganthi
Publisher : CRC Press
ISBN 13 : 1000441814
Total Pages : 296 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 296 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.

Artificial Intelligence for Wireless Communication Systems

Author : Samarendra Nath Sur
Publisher :
ISBN 13 : 9781032576671
Total Pages : 0 pages
Book Rating : 4.5/5 (766 download)

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Book Synopsis Artificial Intelligence for Wireless Communication Systems by : Samarendra Nath Sur

Download or read book Artificial Intelligence for Wireless Communication Systems written by Samarendra Nath Sur and published by . This book was released on 2024-10-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text provides a comprehensive study of the application of advanced artificial intelligence in next-generation wireless communications with a focus on theory, standardization, and core development. It further highlights artificial intelligence-enabled intelligent architecture for 6G networks to realize smart resource management, automatic network adjustment, and intelligent service layers. The book covers artificial-assisted non-orthogonal multiple access schemes for 6G communication. This book: Discusses the use of artificial intelligence in various aspects of wireless communications, including channel modeling, signal detection, channel coding design, and resource management. Explores technical challenges in the ubiquitous 5G wireless networks and the prospects of introducing artificial intelligence-based techniques in the envisioned 6G wireless networks. Presents potential issues in artificial intelligence-enabled approaches in wireless communications. Covers artificial intelligence-enabled energy efficiency optimization and cross-layer optimization in the next-generation wireless networks. Explains artificial empowered security and privacy schemes in next-generation wireless networks and next-generation mobile management. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

Author : Nur Zincir-Heywood
Publisher : John Wiley & Sons
ISBN 13 : 1119675510
Total Pages : 402 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning by : Nur Zincir-Heywood

Download or read book Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning written by Nur Zincir-Heywood and published by John Wiley & Sons. This book was released on 2021-09-03 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Deep Reinforcement Learning for Wireless Networks

Author : F. Richard Yu
Publisher : Springer
ISBN 13 : 3030105466
Total Pages : 71 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Reinforcement Learning for Wireless Networks by : F. Richard Yu

Download or read book Deep Reinforcement Learning for Wireless Networks written by F. Richard Yu and published by Springer. This book was released on 2019-01-17 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.