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Driving 5g Mobile Communications With Artificial Intelligence Towards 6g


Driving 5g Mobile Communications With Artificial Intelligence Towards 6g
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Driving 5g Mobile Communications With Artificial Intelligence Towards 6g


Driving 5g Mobile Communications With Artificial Intelligence Towards 6g
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Author : Dragorad A. Milovanovic
language : en
Publisher: CRC Press
Release Date : 2023-04-06

Driving 5g Mobile Communications With Artificial Intelligence Towards 6g written by Dragorad A. Milovanovic and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Technology & Engineering categories.


Driving 5G Mobile Communications with Artificial Intelligence towards 6G presents current work and directions of continuously innovation and development in multimedia communications with a focus on services and users. The fifth generation of mobile wireless networks achieved the first deployment by 2020, completed the first phase of evolution in 2022, and started transition phase of 5G-Advanced toward the sixth generation. Perhaps one of the most important innovations brought by 5G is the platform-approach to connectivity, i.e., a single standard that can adapt to the heterogeneous connectivity requirements of vastly different use cases. 5G networks contain a list of different requirements, standardized technical specifications and a range of implementation options with spectral efficiency, latency, and reliability as primary performance metrics. Towards 6G, machine learning (ML) and artificial intelligence (AI) methods have recently proposed new approaches to modeling, designing, optimizing and implementing systems. They are now matured technologies that improve many research fields significantly. The area of wireless multimedia communications has developed immensely, generating a large number of concepts, ideas, technical specifications, mobile standards, patents, and articles. Identifying the basic ideas and their complex interconnections becomes increasingly important. The book is divided into three major parts, with each part containing four or five chapters: Advanced 5G communication Machine learning-based communication and network automation Artificial Intelligence towards 6G The first part discusses three main scenarios and standard specification of 5G use cases (eMBB, URLLC, mMTC), vehicular systems beyond 5G, and efficient edge architecture on NFV infrastructure. In the second part, different AI/ML-based methodologies and open research challenges are presented in introducing 5G-AIoT artificial intelligence of things, scheduling in 5G/6G communication systems, application of DL techniques to modulation, detection, and channel coding as well as 5G Open Source tools for experimentations and testing. The third part paved the way to deployment scenarios for different innovative services including technologies and applications of 5G/6G intelligent connectivity, AI-assisted eXtended Reality, integrated 5G-IoT architecture in next-generation Smart Grid, privacy requirements in a hyper-connected world, and evaluation of representative 6G use cases and technology trends. The book is written by field experts from Europe and Mauritius who introduce a blend of scuentific and engineering concepts covering this emerging wireless communication era. It is a very good reference book for telecom professionals, engineers, and practitioner in various 5G vertical domains and, finally, a basis for student courses in 5G/6G wireless systems.



Driving 5g Mobile Communications With Artificial Intelligence Towards 6g


Driving 5g Mobile Communications With Artificial Intelligence Towards 6g
DOWNLOAD
Author : Dragorad A. Milovanovic
language : en
Publisher: CRC Press
Release Date : 2023-04-06

Driving 5g Mobile Communications With Artificial Intelligence Towards 6g written by Dragorad A. Milovanovic and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Technology & Engineering categories.


Driving 5G Mobile Communications with Artificial Intelligence towards 6G presents current work and directions of continuous innovation and development in multimedia communications with a focus on services and users. The fifth generation of mobile wireless networks achieved the first deployment by 2020, completed the first phase of evolution in 2022, and started transition phase of 5G-Advanced toward the sixth generation. Perhaps one of the most important innovations brought by 5G is the platform-approach to connectivity, i.e., a single standard that can adapt to the heterogeneous connectivity requirements of vastly different use cases. 5G networks contain a list of different requirements, standardized technical specifications and a range of implementation options with spectral efficiency, latency, and reliability as primary performance metrics. Towards 6G, machine learning (ML) and artificial intelligence (AI) methods have recently proposed new approaches to modeling, designing, optimizing and implementing systems. They are now matured technologies that improve many research fields significantly. The area of wireless multimedia communications has developed immensely, generating a large number of concepts, ideas, technical specifications, mobile standards, patents, and articles. Identifying the basic ideas and their complex interconnections becomes increasingly important. The book is divided into three major parts, with each part containing four or five chapters: Advanced 5G communication Machine learning-based communication and network automation Artificial Intelligence towards 6G The first part discusses three main scenarios and standard specification of 5G use cases (eMBB, URLLC, mMTC), vehicular systems beyond 5G, and efficient edge architecture on NFV infrastructure. In the second part, different AI/ML-based methodologies and open research challenges are presented in introducing 5G-AIoT artificial intelligence of things, scheduling in 5G/6G communication systems, application of DL techniques to modulation, detection, and channel coding as well as 5G Open Source tools for experimentations and testing. The third part paved the way to deployment scenarios for different innovative services including technologies and applications of 5G/6G intelligent connectivity, AI-assisted eXtended Reality, integrated 5G-IoT architecture in next-generation Smart Grid, privacy requirements in a hyper-connected world, and evaluation of representative 6G use cases and technology trends. The book is written by field experts from Europe and Mauritius who introduce a blend of scientific and engineering concepts covering this emerging wireless communication era. It is a very good reference book for telecom professionals, engineers, and practitioner in various 5G vertical domains and, finally, a basis for student courses in 5G/6G wireless systems.



Machine Intelligence For Research And Innovations


Machine Intelligence For Research And Innovations
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Author : Om Prakash Verma
language : en
Publisher: Springer Nature
Release Date : 2024-01-12

Machine Intelligence For Research And Innovations written by Om Prakash Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-12 with Computers categories.


The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India during 1 – 3 September 2023. This book focuses on recent advancement in the theory and realization of machine intelligence (MI) and their tools and growing applications such as machine learning, deep learning, quantum machine learning, real-time computer vision, pattern recognition, natural language processing, statistical modelling, autonomous vehicles, human interfaces, computational intelligence, and robotics.



Artificial Intelligence For Sustainable Development


Artificial Intelligence For Sustainable Development
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Author : Anandakumar Haldorai
language : en
Publisher: Springer Nature
Release Date : 2024-04-12

Artificial Intelligence For Sustainable Development written by Anandakumar Haldorai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Technology & Engineering categories.


This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.



Research Challenges In Information Science


Research Challenges In Information Science
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Author : Jānis Grabis
language : en
Publisher: Springer Nature
Release Date : 2025-06-16

Research Challenges In Information Science written by Jānis Grabis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.


The two-volume set LNBIP 547 and LNBIP 548 constitutes the proceedings of the 19th International Conference on Research Challenges in Information Sciences, RCIS 2025, which took place in Seville, Spain, in May 2025. It focused on the special theme: Advancing Information Science and Information Systems Quality in the Era of Complexity. The scope of RCIS is summarized by the thematic areas of information systems and their engineering; user-oriented approaches; data and information management; business process management; domain-specific information systems engineering; data science; information infrastructures, and reflective research and practice. The 33 full papers and 13 short papers included in the proceedings were carefully reviewed and selected from 103 submissions. They were organized in topical sections as follows: Part I: Information systems quality; security, risk and strategy; conceptual modeling and ontologies; modeling methods and requiremments engineering; databases informaiton management; human factors in information systems; business process engineering and management; Part II: Machine-learning and generative AI applications; RCIS Forum; and RCIS Doctoral Consortium.



Merging Artificial Intelligence With The Internet Of Things


Merging Artificial Intelligence With The Internet Of Things
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Author : Tariq, Muhammad Usman
language : en
Publisher: IGI Global
Release Date : 2025-05-08

Merging Artificial Intelligence With The Internet Of Things written by Tariq, Muhammad Usman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Computers categories.


Artificial intelligence (AI) and the Internet of Things (IoT) converge to create smart, interconnected systems. This intelligent connectivity enhances the efficiency and innovation of the systems with greater automation, improved decision-making capabilities, and faster reaction times. By amplifying each other, they can transform engineering, security, and management in numerous settings. As a result, their blending is shaping the future of technology in smart cities, healthcare, agriculture, and other sectors. Merging Artificial Intelligence With the Internet of Things stimulates further research into AIoT applications and provides a robust framework for teaching the next generation of tech innovators. By presenting a blend of theoretical knowledge and practical case studies, it bridges the gap between academia and industry, encouraging interdisciplinary research and collaboration. Covering topics such as bio-inspired algorithms, clinical care, and food security, this book is an excellent resource for technology professionals, technology developers, industry leaders, policymakers, professionals, researchers, scholars, academicians, and more.



Digital Technologies To Implement The Un Sustainable Development Goals


Digital Technologies To Implement The Un Sustainable Development Goals
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Author : Walter Leal Filho
language : en
Publisher: Springer Nature
Release Date : 2024-09-16

Digital Technologies To Implement The Un Sustainable Development Goals written by Walter Leal Filho and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-16 with Science categories.


Against this background, and in order to facilitate a broad discussion on the contribution of IT toward implementing the UN SDGs, this book is being produced. The book gathers inputs from universities, enterprises, and research organizations working on matters related to IT and sustainable development in a variety of contexts. It also provides a platform for the dissemination of information on the latest initiatives, paving the way for technology transfer and networking. Last but not least, a further aim of the book is to present methodological approaches and experiences deriving from case studies and projects, which aims to show how IT may support sustainability efforts in a wide range of settings and contexts. Digital technologies are now widely spread and the variety of tools and methods available today means that they can potentially useful in helping to achieve the United Nations Sustainable Development Goals (UN SDGs). However, the gap between technological innovation and sustainable development applications is quite wide. For instance, it is unclear how artificial intelligence can be leveraged to tackle some of the world’s biggest environmental challenges, including climate change, biodiversity, and water management. Also, there is a need to highlight how innovative green technologies and their applications in areas such as renewable energy, waste management, and sustainable agriculture may be used and to showcase how technological innovation can lead to more sustainable production and consumption patterns.



Optimization Techniques For Hybrid Power Systems Renewable Energy Electric Vehicles And Smart Grid


Optimization Techniques For Hybrid Power Systems Renewable Energy Electric Vehicles And Smart Grid
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Author : Hazra, Sunanda
language : en
Publisher: IGI Global
Release Date : 2024-07-17

Optimization Techniques For Hybrid Power Systems Renewable Energy Electric Vehicles And Smart Grid written by Hazra, Sunanda and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Technology & Engineering categories.


Optimization Techniques for Hybrid Power Systems: Renewable Energy, Electric Vehicles, and Smart Grid is a comprehensive guide that delves into the intricate world of renewable energy integration and its impact on electrical systems. With the current global energy crisis and the urgent need to address climate change, this book explores the latest advancements and research surrounding optimization techniques in the realm of renewable energy. This book has a focus on nature-inspired and meta-heuristic optimization methods, and it demonstrates how these techniques have revolutionized renewable energy problem-solving and their application in real-world scenarios. It examines the challenges and opportunities in achieving a larger utilization of renewable energy sources to reduce carbon emissions and air pollutants while meeting renewable portfolio standards and enhancing energy efficiency. This book serves as a valuable resource for researchers, academicians, industry delegates, scientists, and final-year master's degree students. It covers a wide range of topics, including novel power generation technology, advanced energy conversion systems, low-carbon technology in power generation and smart grids, AI-based control strategies, data analytics, electrified transportation infrastructure, and grid-interactive building infrastructure.



Intelligent And Sustainable Engineering Systems For Industry 4 0 And Beyond


Intelligent And Sustainable Engineering Systems For Industry 4 0 And Beyond
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Author : Tulsi Pawan Fowdur
language : en
Publisher: CRC Press
Release Date : 2025-02-21

Intelligent And Sustainable Engineering Systems For Industry 4 0 And Beyond written by Tulsi Pawan Fowdur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Technology & Engineering categories.


The Fourth Industrial Revolution, Industry 4.0, aims to significantly improve the flexibility, versatility, usability and efficiency of future smart factories. However, the concept of Industry 4.0 is not only limited to the factory but also encompasses the entire life cycle of the product, that is, from production and suppliers, to end users. Industry 4.0 delivers seamless vertical and horizontal integration down the entire value chain and across all layers of the automation pyramid. Industry 4.0 has its roots in a project for the high‐tech strategy of the German Government back in 2011, which led to the progression of cyber-physical systems into cyber-physical production systems (CPPS). CPPS can make intelligent decisions through real‐time communication and cooperation between manufacturing entities. Smart Factory, which is based on CPPS and artificial intelligence (AI), is one of the key associated initiatives of Industry 4.0. This enables flexible production of high‐quality personalized products with mass efficiency. Another important aspect of Industry 4.0 is sustainable engineering systems that can help make its processes align with the United Nations Sustainable Development Goals (UN SDGs). Sustainable and intelligent engineering systems such as 5G, Industrial IoT, robotics and automation, renewable energy, logistics and even intelligent waste management can be the main enablers of Industry 4.0. This is a multidisciplinary book and is meant for anyone with a basic engineering background interested in acquiring a solid foundation in the fundamental concepts and state‐of‐the‐art research trends in Industry 4.0. It explores the application of AI and machine learning as well as sustainable engineering systems, which can be the main drivers for Industry 4.0 and beyond and have a significant impact on the UN SDGs.



Advanced Computation Solutions For Energy Efficiency


Advanced Computation Solutions For Energy Efficiency
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Author : Azrour, Mourade
language : en
Publisher: IGI Global
Release Date : 2025-03-20

Advanced Computation Solutions For Energy Efficiency written by Azrour, Mourade and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Science categories.


Advanced computation solutions transform how industries and organizations optimize energy usage, reduce waste, and minimize environmental impact. By leveraging cutting-edge technologies, these solutions enable real-time monitoring and precise control over energy systems. From smart grids to energy-efficient building management systems, computational tools enable accurate prediction, analysis, and optimization of energy consumption. As the demand for sustainable energy practices grows, advanced computational solutions are becoming indispensable for achieving greater efficiency, lowering costs, and supporting global efforts to combat climate change. These innovations offer promising pathways toward a more sustainable and energy-conscious future. Advanced Computation Solutions for Energy Efficiency examines the intersection of technology and energy management. It explores the role of artificial intelligence and machine learning in analyzing energy consumption patterns and optimizing resource allocation. This book covers topics such as green economics, renewable energy, and fault detection, and is a useful resource for energy scientists, computer engineers, business owners, academicians, and researchers.