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6G and Beyond

Self-contained resource on fundamental concepts and the planning, provisionining, design, and operations of 3GPP-based NTNs 3GPP-based Non-Terrestrial Networks in 5G and 6G: Expanding the Frontiers of Wireless Communications provides an overview of Non-Terrestrial Networks (NTNs) in the context of 3GPP systems such as 4G LTE and 5G NR. Unique challenges of NTNs such as long and variable propagation delays, large and time-varying Doppler shifts, different types of beams including Earth-fixed beams, quasi-Earth-fixed beams, and Earth-moving beams and transparent and regenerative payloads are discussed. The mechanisms that 3GPP foresees to tackle these NTN-specific challenges are described and, furthermore, the planning, provisioning, design, and operations of the radio and core networks for NTNs are illustrated. NTN considerations in the book range from physical-layer aspects (e.g., synchronization, random access, and uplink and downlink data transmission), to mobility management including handover and cell reselection, and to network architecture. Fundamentals of the associated concepts of NR, eMTC (i.e., LTE_M), and NB-IoT are described so that their customizations for NTNs become clear in NTN-specific discussions. NTN features in 3GPP Release 17, 18, and 19 are described andhe role of NTN in 6G is also summarized. A companion website provides exercises to help learners to reinforce concepts, along with software utilities (e.g., Excel spreadsheets) that provide templates to investigate the impact of various factors (e.g., carrier frequency and channel bandwidth) on the performance of NTNs (e.g., coverage and capacity/throughput). 3GPP-based Non-Terrestrial Networks in 5G and 6G includes information on: <ul> <li>Earth-fixed beams, Earth-moving beams, and quasi-Earth-fixed beams, as well as characteristics of Geo Synchronous Orbit (GSO) and Non-GSO (NGSO) satellites such as Low Earth Orbit (LEO) satellites</li> <li>Challenges unique to NTNs including large coverage areas, mobility of cells, and different types of payloads (e.g., transparent and regenerative)</li> <li>Issues surrounding data transfer in NTNs such as time and frequency pre-compensation, timers for different radio protocol stack layers, and HARQ enabling/disabling</li> <li>Random access, RRC connection setup, registration/attach, and PDU session/EPS bearer setup for LTE-M, NB-IoT, and 5G NR</li> </ul> 3GPP-based Non-Terrestrial Networks in 5G and 6G is an essential resource for wireless communications and satellite industry engineers and professionals seeking to facilitate the design, provisioning, deployment, operations, maintenance, and optimization of 5G-based NTNs and identify R&amp;D areas for 5G-advanced-based and 6G-based NTNs.

Expanding the Frontiers of Wireless Communications

Non-Terrestrial Networks in 5G and 6G

Embedded Systems in Automotive Applications

Concepts, Challenges and Applications

Platform Engineering

Stability Analysis of Grid-Connected Converters

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and development In Tiny Machine Learning: Design Principles and Applications, a team of distinguished researchers delivers a comprehensive discussion of the critical concepts, design principles, applications, and relevant issues in Tiny Machine Learning (TinyML). Expert contributors introduce a new low power resource, offering vast applications in IoT devices with system-algorithm co-design. Tiny Machine Learning explores TinyML paradigms and enablers, TinyML for anomaly detection, and the learning panorama under TinyML. Readers will find explanations of TinyML devices and tools, power consumption and memory in IoT microcontrollers, and lightweight frameworks for TinyML. The book also describes TinyML techniques for real-time and environmental applications. Additional topics covered in the book include: <ul> <li>A thorough introduction to security and privacy techniques for TinyML devices, including the implementation of novel security schemes</li> <li>Incisive explorations of power consumption and memory in IoT MCUs, including ultralow-power smart IoT devices with embedded TinyML</li> <li>Practical discussions of TinyML research targeting microcontrollers for data extraction and synthesis</li> </ul> Perfect for industry and academic researchers, scientists, and engineers, Tiny Machine Learning will also benefit lecturers and graduate students interested in machine learning.

Tiny Machine Learning: Design Principles and Applications

Learn to secure, build, implement, and test future blockchain applications Blockchain was originally introduced in the crypto-currency of Bitcoin in order to keep track of transactions over a peer-to-peer network to prevent the double-spending of bitcoin. This distributed ledger technology, however, has developed a reputation as a disruptive technology for the transfer of values and disintermediation. Despite this reputation, blockchain is, simply, at its core, a data structure-in this case, a cryptographic hash chain of blocks of transactions-continually replicated and maintained in a distributed manner by a peer-to-peer network of hosts. Together they decide through a specific consensus protocol, what transactions can be registered or added to the blockchain. Blockchain Application Security introduces the reader to the architecture and components of blockchain, as well as blockchain and bitcoin protocol, aimed at a basic level of understanding of the technical perspective. The book discusses the benefits, the vulnerabilities, and even the design flaws found in blockchain applications. It also teaches how to manage the risks of blockchain by deciding how digital assets, data confidentiality, and data availability should be protected from unauthorized access. Blockchain Application Security readers will also find: <ul> <li>An exploration of source code and core APIs relevant to blockchain</li> <li>A glossary of common terminology used for blockchain</li> <li>Real cases of blockchain applications to illustrate points</li></ul>Blockchain Application Security is an ideal resource for application architects, software developers, security auditors, and vulnerability testers of enterprise-based blockchain applications.

How to Design Secure and Attack Resilient Blockchain Applications

Blockchain Application Security

Case Studies and Applications

Green Innovations in Supply Chain Management

Advances in Augmented Reality and Virtual Reality

A Path to Sustainable Development Goals

AI and ML Techniques in IoT-based Communication

Original and highly relevant insight and analysis of the interdependencies and interaction between multi-vector energy systems Energy supply networks are undergoing a radical transformation affecting all energy vectors, from electric power and heating and cooling systems to gas and hydrogen networks.

Original and highly relevant insight and analysis of the interdependencies and interaction between multi-vector energy systems    Energy supply networks are undergoing a radical transformation affecting all energy vectors, from electric power and heating and cooling systems to gas and hydrogen networks.

6G and Beyond

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