Artificial Intelligence for Cloud and Edge Computing for Super Networks -5G: How to Monetize 5G Super Networks for Cloud and Edge Computing using AI


Book Description

"Artificial Intelligence for Cloud and Edge Computing for Super Networks -5G" Harnessing 5G and Edge Cloud Computing for Business Innovation is a comprehensive guidebook that delves into the transformative potential of edge cloud computing in conjunction with 5G networks. Authored by industry experts, the book offers a detailed exploration of how these cutting-edge technologies intersect to revolutionize various business sectors. From healthcare and industrial automation to sports venues and entertainment, the book provides insightful use cases, real-life examples, and practical strategies for leveraging edge computing to drive innovation, enhance operational efficiency, and unlock new revenue streams. With a focus on business-to-business applications, the book serves as a roadmap for organizations seeking to capitalize on the power of edge computing and 5G to stay ahead in today's digital landscape.




Driving 5G Mobile Communications with Artificial Intelligence towards 6G


Book Description

- provides some fundamental concepts related to 5G networks and the 5G NR signal processing. A review of AI and state of the art machine learning techniques is also given. - deals with the 5G/6G and AI enabled applications such as AR/VR, autonomous vehicles, mobile multimedia services, context aware communications, Industrial IoT and security. -elaborates on how AI techniques can enhance network and traffic management in 5G/6G networks. These include AI based mobility management, routing, scheduling, network performance optimization and even energy efficiency. -discusses the application of AI to 5G/6G NR signal processing and also the air interface. AI and deep learning techniques for channel coding, automatic modulation detection, channel estimation and equalization as well as spectrum management are presented with a view to highlight the benefits of using AI as compared to traditional techniques.




5G Edge Computing


Book Description




Network Slicing for 5G and Beyond Networks


Book Description

This book provides a comprehensive guide to the emerging field of network slicing and its importance to bringing novel 5G applications into fruition. The authors discuss the current trends, novel enabling technologies, and current challenges imposed on the cellular networks. Resource management aspects of network slicing are also discussed by summarizing and comparing traditional game theoretic and optimization based solutions. Finally, the book presents some use cases of network slicing and applications for vertical industries. Topics include 5G deliverables, Radio Access Network (RAN) resources, and Core Network (CN) resources. Discusses the 5G network requirements and the challenges therein and how network slicing offers a solution Features the enabling technologies of future networks and how network slicing will play a role Presents the role of machine learning and data analytics for future cellular networks along with summarizing the machine learning approaches for 5G and beyond networks




Social Edge Computing


Book Description

The rise of the Internet of Things (IoT) and Artificial Intelligence (AI) leads to the emergence of edge computing systems that push the training and deployment of AI models to the edge of networks for reduced bandwidth cost, improved responsiveness, and better privacy protection, allowing for the ubiquitous AI that can happen anywhere and anytime. Motivated by the above trend, this book introduces a new computing paradigm, the Social Edge Computing (SEC), that empowers human-centric edge intelligent applications by revolutionizing the computing, intelligence, and the training of the AI models at the edge. The SEC paradigm introduces a set of critical human-centric challenges such as the rational nature of edge device owners, pronounced heterogeneity of the edge devices, real-time AI at the edge, human and AI interaction, and the privacy of the edge users. The book addresses these challenges by presenting a series of principled models and systems that enable the confluence of the computing capabilities of devices and the domain knowledge of the people, while explicitly addressing the unique concerns and constraints from humans. Compared to existing books in the field of edge computing, the vision of this book is unique: we focus on the social edge computing (SEC), an emerging paradigm at the intersection of edge computing, AI, and social computing. This book discusses the unique vision, challenges and applications in SEC. To our knowledge, keeping humans in the loop of edge intelligence has not been systematically reviewed and studied in an existing book. The SEC vision generalizes the current machine-to-machine interactions in edge computing (e.g., mobile edge computing literature), and machine-to-AI interactions (e.g., edge intelligence literature) into a holistic human-machine-AI ecosystem.




Advances in Mobile Cloud Computing and Big Data in the 5G Era


Book Description

This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.




Networked Artificial Intelligence


Book Description

The integration of fifth generation (5G) wireless technologies with distributed artificial intelligence (AI) is transforming network operations. AI is increasingly embedded in all network elements, from cloud and edge to terminal devices, enabling AI to function as a networking system. This convergence facilitates AI-based applications across the global network, with notable successes in various domains such as computer vision, natural language processing, and healthcare. Networked Artificial Intelligence: AI-Enabled 5G Networking a comprehensive framework for the deep integration of computing and communications, optimizing networks and applications as a unified system using AI. The book covers topics ranging from networked AI fundamentals to AI-enabled 5G networks, including agent modeling, machine learning (ML) algorithms, and network protocol architectures. It discusses how network service providers can leverage AI and ML techniques to customize network baselines, reduce noise, and accurately identify issues. It also looks at AI-driven networks that enable self-correction for maximum uptime and prescriptive actions for issue resolution, as well as troubleshooting by capturing and storing data before network events. The book presents a comprehensive approach to AI-enabled networking that offers unprecedented opportunities for efficiency, reliability, and innovation in telecommunications. It works through the approach’s five steps of connection, communication, collaboration, curation, and community. These steps enhance network effects, empowering operators with insights for trusted automation, cost reduction, and optimal user experiences. The book also discusses AI and ML capabilities that enable networks to continuously learn, self-optimize, and predict and rectify service degradations proactively, even with full automation.




Machine Learning for Edge Computing


Book Description

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.




5G Accelerated


Book Description

Book Description: Unlock the Power of 5G for Data Revolution and AI Advancement! In "5G Accelerated: Unleashing Data Revolution with AI," embark on a thrilling journey into the heart of innovation, where the convergence of 5G technology, data collection, and artificial intelligence (AI) promises to reshape the future of connectivity, intelligence, and innovation. Discover how 5G's lightning-fast speeds, ultra-low latency, and massive connectivity are revolutionizing data collection, empowering organizations to gather, transmit, and analyze vast amounts of data in real-time. From smart cities and autonomous vehicles to precision agriculture and personalized healthcare, explore the myriad applications of 5G-enabled data collection, and the transformative impact it's having across industries. Delve into the symbiotic relationship between 5G and AI, and uncover how the fusion of these technologies is unleashing unprecedented capabilities for intelligent decision-making and automation. With 5G's edge computing capabilities and AI's advanced algorithms, witness the dawn of a new era where machines learn, adapt, and anticipate in real-time, revolutionizing how we work, live, and interact with technology. But the benefits of "5G Accelerated" extend far beyond technological advancements. By embracing the power of 5G, organizations can unlock new frontiers of innovation, efficiency, and growth, positioning themselves at the forefront of the digital revolution. From increased productivity and cost savings to enhanced customer experiences and competitive advantage, discover how harnessing the power of 5G can propel your organization to new heights of success. Packed with actionable insights, case studies, and expert perspectives, "5G Accelerated" is your essential guide to navigating the future of connectivity and intelligence. Whether you're a business leader seeking to stay ahead of the curve, a technologist eager to explore the latest advancements, or simply curious about the transformative potential of 5G, this book offers invaluable insights and inspiration to fuel your journey into the digital age. Don't miss out on the opportunity to unlock the power of 5G and transform your organization's future. Get your copy of "5G Accelerated: Unleashing Data Revolution with AI" today and join the revolution!