Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
Next-Generation Wireless Networks Meet Advanced Machine Learning Applications

Author: Com?a, Ioan-Sorin

Publisher: IGI Global

Published: 2019-01-25

Total Pages: 379

ISBN-13: 152257459X

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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.

Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks

Author: Krishna Kant Singh

Publisher: John Wiley & Sons

Published: 2020-07-08

Total Pages: 272

ISBN-13: 1119640369

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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.

Next Generation Wireless Networks
Next Generation Wireless Networks

Author: Sirin Tekinay

Publisher: Springer Science & Business Media

Published: 2001

Total Pages: 267

ISBN-13: 0792372409

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This book is an organized and edited work of enabling technologies for the applications and services needed for future wireless networks. Its focus is the defining architectures, services and applications, with coverage of all layers, i.e., from the physical layer to the information handling layers of the network. The new wireless network architectures are geared specifically for enabling mobility and location-enhanced applications. Presented first are tutorials on new network architectures, including a discussion of "infostations", the role of satellites in broadband wireless access, and the "infocity" concept. The next three chapters present material that describes the state-of-the-art in wireless geolocation systems (including "assisted GPS"), alternatives for wireless geolocation, and empirical data on wireless geolocation capabilities. The first of the last two chapters demonstrates the use of location information in next generation wireless networks, with coverage of real-time geolocation measurements in mobile connectivity. The final chapter portrays the creation of a "killer application" in wireless networks. Leading researchers in the field have contributed to this volume. Next Generation Wireless Networks is essential reading for engineers, researchers, application design specialists, and product managers in the field of wireless network architectures and wireless geolocation.

5G Radio Access Networks
5G Radio Access Networks

Author: Hrishikesh Venkataraman

Publisher: CRC Press

Published: 2017-03-16

Total Pages: 280

ISBN-13: 1351863363

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C-RAN and virtualized Small Cell technology poses several major research challenges. These include dynamic resource allocation, self-configuration in the baseband pool, high latency in data transfer between radio unit and baseband unit, the cost of data delivery, high volume of data in the network, software networking aspects, potential energy savings, security concerns, privacy of user’s personal data at a remote place, limitations of virtualized environment, etc. This book provides deeper insights into the next generation RAN architecture and surveys the coexistence of SDN, C-RAN and Small Cells solutions proposed in the literature at different levels.

Handbook of Intelligent Computing and Optimization for Sustainable Development
Handbook of Intelligent Computing and Optimization for Sustainable Development

Author: Mukhdeep Singh Manshahia

Publisher: John Wiley & Sons

Published: 2022-02-11

Total Pages: 944

ISBN-13: 1119792622

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HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities
Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities

Author: Imtiaz, Waqas Ahmed

Publisher: IGI Global

Published: 2019-07-05

Total Pages: 232

ISBN-13: 1522597697

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By the end of the decade, approximately 50 billion devices will be connected over the internet using multiple services such as online gaming, ultra-high definition videos, and 5G mobile services. The associated data traffic demand in both fixed and mobile networks is increasing dramatically, causing network operators to have to migrate the existing optical networks towards next-generation solutions. The main challenge within this development stems from network operators having difficulties finding cost-effective next-generation optical network solutions that can match future high capacity demand in terms of data, reach, and the number of subscribers to support multiple network services on a common network infrastructure. Design, Implementation, and Analysis of Next Generation Optical Networks: Emerging Research and Opportunities is an essential reference source that discusses the next generation of high capacity passive optical access networks (PON) in terms of design, implementation, and analysis and offers a complete reference of technology solutions for next-generation optical networks. Featuring research on topics such as artificial intelligence, electromagnetic interface, and wireless communication, this book is ideally designed for researchers, engineers, scientists, and students interested in understanding, designing, and analyzing the next generation of optical networks.

Green and Software-defined Wireless Networks
Green and Software-defined Wireless Networks

Author: Chih-Lin I

Publisher: Cambridge University Press

Published: 2019-04-25

Total Pages: 311

ISBN-13: 1108417329

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An expert treatment of the state-of-the-art in green and soft communications, covering theory, design, and resource management strategies.

The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)
The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)

Author: Aboul Ella Hassanien

Publisher: Springer Nature

Published: 2022-04-16

Total Pages: 708

ISBN-13: 3031039181

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This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.

Research Anthology on Artificial Intelligence Applications in Security
Research Anthology on Artificial Intelligence Applications in Security

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2020-11-27

Total Pages: 2253

ISBN-13: 1799877485

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As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Enabling Technologies for Next Generation Wireless Communications
Enabling Technologies for Next Generation Wireless Communications

Author: Mohammed Usman

Publisher: CRC Press

Published: 2020-12-28

Total Pages: 254

ISBN-13: 1000329003

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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.