5g Nr Modelling In Matlab
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5G NR Modelling in MATLAB
5G is the fifth generation of wireless technology and NR stands for a new radio interface and radio access technology for cellular networks i.e. a physical connection method for radio-based communication. It is a powerful platform that supports a wide range of services that includes enhanced mobile broadband, massive machine-type communication and ultra-reliability, and low latency covering several vertical industries such as e-health, transportation, energy, media and factories automation. This book provides a detailed description of the fundamental aspects of 5G. It gives an in-depth coverage of the network architecture of 5G by considering both the network reference point architecture and the service-based architecture. It also describes all the user and control plane protocols including the standalone and non-standalone architecture options. The radio access technologies such as the waveforms used in 5G, the multi-access and duplexing techniques as well as the resource allocation schemes are treated in details. Additionally, the physical layer signal processing blocks of 5G-NR are covered in depth with elaborate numerical examples to illustrate the functioning of each block in the 5G downlink transmitter and receiver chain. The main originality of this book is the detailed illustration of the 5G NR pre-processing steps as well as Matlab simulation models with explanation on the codes to allow for a seamless understanding of the principles. In general this book is meant for anyone with a basic engineering background who would be interested to acquire a solid foundation in the fundamental concepts of 5G NR.
Intelligent and Sustainable Engineering Systems for Industry 4.0 and Beyond
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.
Proceedings of the 14th International Conference on Computer Engineering and Networks
This conference proceedings is a collection of papers accepted for CENet2024 - the 14th International Conference on Computer Engineering and Networks, held in Kashi, China, 18-21 October 2024. The topics covered include Internet of Things and Smart Systems, Artificial Intelligence and Applications, Detection, Analysis and Application of Communication Systems, Cloud Computing and Security, and Medical Engineering and Information Systems. Each section of this book can serve as an excellent reference for industry practitioners, university faculty, research fellows, undergraduate and graduate students who wish to build a knowledge base of the latest advances and state-of-the-art practices in the topics covered. Using this knowledge, they will be able to design, implement and manage systems that are both complex and trustworthy. We would like to thank the authors for their hard work and dedication, and the reviewers for their efforts in ensuring that only the highest quality papers were selected. Without their contributions, the proceedings would not have been possible.