Handbook Of Research On Design Deployment Automation And Testing Strategies For 6g Mobile Core Network

To overcome the constraints of 5G for supporting new challenges, 6G wireless systems must be developed with new and attractive features. These systems are expected to increase performance and maximize quality of service several folds more than 5G along with other exciting features. However, 6G is still in its infancy and must be explored. The Handbook of Research on Design, Deployment, Automation, and Testing Strategies for 6G Mobile Core Network discusses the technological feats used in the new 6G wireless systems. It discusses the design, automation, and uses for industry as well as testing strategies. Covering topics such as 6G architecture, smart healthcare, and wireless communication, this major reference work is an excellent resource for computer scientists, engineers, students and professors in higher education, researchers, and academicians.

"This book investigates how to overcome the constraints of 5G for supporting new challenges and how a sixth-generation (6G) wireless system will need to be developed with new attractive features including dealing with new services such as AI, smart wearable, implants, autonomous vehicles, computing reality devices, sensing, and 3D mapping and having the capability of handling massive volumes of data and very high-data-rate connectivity per device"--

Get up to speed on 5G and prepare for the roll out of the next generation of mobile technology. The book begins with an introduction to 5G and the advanced features of 5G networks, where you’ll see what makes it bigger, better, and faster. You will learn 5G NSA and SA packet core design along with some design challenges, taking a practical approach towards design and deployment. Next, you will understand the testing of the 5G packet core and how to automate it. The book concludes with some advanced service provider strategies, including architectural considerations for service providers to enhance their network and provide services to non-public 5G networks. 5G Mobile Core Network is intended for those who wish to understand 5G, and also for those who work extensively in a service provider environment either as operators or as vendors performing activities such as network design, deployment, testing, and automation of the network. By the end of this book you will be able to understand the benefits in terms of CAPEX and OPEX while considering one design over another. Consulting engineers will be able to evaluate the design options in terms of 5G use cases, the scale of deployment, performance, efficiency, latency, and other key considerations. What You Will Learn Understand the life cycle of a deployment right from pre-deployment phase to post-deployment phase See use cases of 5G and the various options to design, implement, and deploy them Examine the deployment of 5G networks to large-scale service providers Discover the MVNO/MVNE strategies that a service provider can implement in 5G Who This Book Is For Anyone who is curious about 5G and wants to learn more about the technology.

It has become clear that managing and maintaining state-of-the-art healthcare facilities is more important than ever before. Healthcare consists of many different institutions and supports personnel ranging from laboratories of universities, public and private hospitals, research centers of health institutions, public health institutes, institutions, and organizations engaged in research and development in the field of medicine. For all these entities to be successful, there needs to be coordination among the bodies and quality must be kept at a very high level. The Handbook of Research on Quality and Competitiveness in the Healthcare Services Sector considers the current state of the healthcare services sector and examines future directions. Covering topics such as quality excellence models, accreditation, and e-health, this major reference work is an essential resource for economists, healthcare specialists, government officials, consultants, business leaders and executives, healthcare professionals, IT managers, students and educators of higher education, researchers, and academicians.

Artificial intelligence (AI), the internet of things (IoT), and blockchain provide services to 6G in the form of radio resource management, mobility management, energy management, and network management. Moreover, 6G strengthens AI and blockchain-based applications. Further study on the benefits and potential opportunities of 6G for AI and blockchain is required to utilize the technology successfully. Role of 6G Wireless Networks in AI and Blockchain-Based Applications considers the role of the 6G wireless network deployed on AI and blockchain technology-based applications in fields such as the healthcare industry, agriculture, e-business, and transportation. The book specifically focuses on remote healthcare monitoring, online shopping preference, V2V communication, UAV, holographic application, and augmented and virtual reality as advanced services of 6G networks. Covering topics such as machine learning, smart cities, and virtual reality, this reference work is ideal for computer scientists, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

The book Secure Communication in Internet of Things: Emerging Technologies, Challenges, and Mitigation will be of value to the readers in understanding the key theories, standards, various protocols, and techniques for the security of Internet of Things hardware, software, and data, and explains how to design a secure Internet of Things system. It presents the regulations, global standards, and standardization activities with an emphasis on ethics, legal, and social considerations about Internet of Things security. Features: ● Explores the new Internet of Things security challenges, threats, and future regulations to end-users. ● Presents authentication, authorization, and anonymization techniques in the Internet of Things. ● Illustrates security management through emerging technologies such as blockchain and artificial intelligence. ● Highlights the theoretical and architectural aspects, foundations of security, and privacy of the Internet of Things framework. ● Discusses artificial-intelligence-based security techniques, and cloud security for the Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in fields such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.

Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated learning has developed as a model of education in these situations. Federated learning (FL) is an expert form of decentralized machine learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT and new hardware technology and is the next generation of artificial intelligence (AI). In FL, central ML model is built with all the data available in a centralised environment in the traditional machine learning. It works without problems when the predictions can be served by a central server. Users require fast responses in mobile computing, but the model processing happens at the sight of the server, thus taking too long. The model can be placed in the end-user device, but continuous learning is a challenge to overcome, as models are programmed in a complete dataset and the end-user device lacks access to the entire data package. Another challenge with traditional machine learning is that user data is aggregated at a central location where it violates local privacy policies laws and make the data more vulnerable to data violation. This book provides a comprehensive approach in federated learning for various aspects.

This book brings new smart farming methodologies to the forefront, sparked by pervasive applications with automated farming technology. New indigenous expertise on smart agricultural technologies is presented along with conceptual prototypes showing how the Internet of Things, cloud computing, machine learning, deep learning, precision farming, crop management systems, etc., will be used in large-scale production in the future. The necessity of available welfare systems for farmers’ well-being is also discussed in the book. It draws the conclusion that there is a greater need and demand today for smart farming methodologies driven by technology than ever before.