Название: Real-Time Intelligence for Heterogeneous Networks: Applications, Challenges, and Scenarios in IoT HetNets Автор: Fadi Al-Turjman Издательство: Springer Год: 2021 Страниц: 179 Язык: английский Формат: pdf (true), epub Размер: 27.8 MB
Next-generation (NG) cellular networks, such as beyond fifth-generation (B5G), promise data rates in the range of Tbits/s, ultralow latency, and most importantly mass connectivity. 5G systems are already being rolled out and are not expected to meet all these requirements, and therefore, 6G is expected to address the shortfall. One of the most important aspects of the sixth-generation (6G) system is seamless global connectivity with significantly improved energy and spectrum efficiency. 6G is expected to generate a massive volume of heterogeneous data that needs to be analyzed to support various services. Since data traffic is a major constituent of cellular traffic, a low-cost and effective solution for handling this traffic is the deployment of small cells. The deployment of small cells improves cellular coverage and capacity. The interoperation of these small cells with macro-cells forms a heterogeneous network (HetNet). Initial studies indicate that HetNets will be an integral part of 6G. This book presents an overview of HetNets, discusses research challenges, and outlines how a Machine Learning (ML) approach can address some of the challenges.
This book discusses several exciting research topics and applications in the intelligent Heterogenous Networks (Het-Net) and Internet of Things (IoT) era. We are resolving significant issues towards realizing the future vision of the Artificial Intelligence (AI) in IoT-enabled spaces. Such AI-powered IoT solutions will be employed in satisfying critical conditions towards further advances in our daily smart life. This book overviews the associated issues and proposes the most up to date alternatives. The objective is to pave the way for AI-powered IoT-enabled spaces in the next generation Het-Net technologies and open the door for further innovations. The book presents the latest advances and research into heterogeneous networks in critical IoT applications. It discusses the most important problems, challenges, and issues that arise when designing real-time intelligent heterogeneous networks for diverse scenarios.
1. Machine Learning Applications for Heterogeneous Networks 2. Federated Learning with Support of HetNets, Cloud Computing, and Edge Computing 3. Cooperative Mobile Traffic Offloading in Mobile Edge Computing for 5G HetNet IoT Applications 4. Nuclear Radiation Monitoring in the Heterogeneous Internet of Things Era 5. Convergence of Blockchain in IoT Applications for Heterogeneous Networks 6. Measuring Clock Reliability in Cloud Virtual Machines 7. Analysis of LTE Downlink Performance Under Heterogeneous Mobility Conditions via a Mobile App 8. Classification of Solid Wastes Using CNN Method in IoT Het-Net Era 9. Characterization and Benchmarking of Message-Oriented Middleware 10. Intelligent Mobile Application for Crime Reporting in the Heterogenous IoT Era
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