A Fresh Concept Of Software Resemblant Hardware To Leap To 6g And Future Networks

For a decade, with the uptake of 4G, we have become accustomed to the relentless increase in data and services on the move. The deployment of 5G is advancing crucial key performance indicators (KPIs), along with quality of service (QoS). Setting the horizon to 2030 and later, 6G will take the KPIs to numbers 100–1000 times better than 5G. Yet, the actual disruption of 6G and future networks (FN) will take place following other unprecedented paths. Artificial intelligence (AI) will be exploited in a threadlike fashion, at any level of the network physical infrastructure. This will introduce, to date unknown features, like self-sustaining, self-evolution and high-resilience of small portions of the infrastructure, pioneering the concept of a network of networks. Each segment of the infrastructure will bear a high degree of independence, while working at the same time as a whole, in full orchestration with the rest of the network. Given such a scenario, this book claims that the established and currently in use paradigms for the design and development of hardware–software (HW–SW) systems, are not appropriate to address the challenges of 6G and, further ahead, of FN. In response, unprecedented design approaches are suggested, relying on a fresh reinterpretation of the standard concept of HW, with specific attention to the network edge and edge intelligence (EI). This work develops some conceptual tools that may help address the technical challenges resulting from the intricate scenario sketched above. Within the mentioned HW reconceptualization, a pivotal role is forecasted for microtechnologies and nanotechnologies, intended with a broad meaning, which embraces, among others, devices, systems (MEMS/NEMS) and materials.

For a decade, with the uptake of 4G, we have become accustomed to the relentless increase in data and services on the move. The deployment of 5G is advancing crucial key performance indicators (KPIs), along with quality of service (QoS). Setting the horizon to 2030 and later, 6G will take the KPIs to numbers 100-1000 times better than 5G. Yet, the actual disruption of 6G and future networks (FN) will take place following other unprecedented paths. Artificial intelligence (AI) will be exploited in a threadlike fashion, at any level of the network physical infrastructure. This will introduce, to date unknown features, like self-sustaining, self-evolution and high-resilience of small portions of the infrastructure, pioneering the concept of a network of networks. Each segment of the infrastructure will bear a high degree of independence, while working at the same time as a whole, in full orchestration with the rest of the network. Given such a scenario, this book claims that the established and currently in use paradigms for the design and development of hardware-software (HW-SW) systems, are not appropriate to address the challenges of 6G and, further ahead, of FN. In response, unprecedented design approaches are suggested, relying on a fresh reinterpretation of the standard concept of HW, with specific attention to the network edge and edge intelligence (EI). This work develops some conceptual tools that may help address the technical challenges resulting from the intricate scenario sketched above. Within the mentioned HW reconceptualization, a pivotal role is forecasted for microtechnologies and nanotechnologies, intended with a broad meaning, which embraces, among others, devices, systems (MEMS/NEMS) and materials.

This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

Low-Grade Thermal Energy Harvesting: Advances in Thermoelectrics, Materials, and Emerging Applications provides readers with fundamental and key concepts surrounding low-grade thermal energy conversion while also reviewing the latest research directions. The book covers the most promising and emerging technologies for low-grade heat recovery, harvesting and conversion, including wearable thermoelectrics and organic thermoelectrics. Each chapter includes key materials, principles, design and fabrication strategies for low-grade heat recovery. Special attention on emerging materials such as organic composites, 2D materials and nanomaterials are also included. The book emphasizes materials and device structures that enable the powering of wearable electronics and consumer electronics. The book is suitable for materials scientists and engineers in academia and R&D in manufacturing, industry, energy and electronics. Introduces key concepts and fundamental principles of low-grade thermal energy harvesting, storage and conversion Provides an overview on key materials, design principles and fabrication strategies for devices for low energy harvesting applications Focuses on materials and device designs that enable wearable thermoelectrics and flexible electronics applications

There is a great deal of practice, discussion, and writing about strategy, but little investigation of the processes by which strategies actually form in organisations. This book shares the results of Mintzberg's investigation into this, using case studies drawn from business and governmental organisations.

Closes the gap between hardcore-theoretical and purely experimental RF-MEMS books. The book covers, from a practical viewpoint, the most critical steps that have to be taken in order to develop novel RF-MEMS device concepts. Prototypical RF-MEMS devices, both including lumped components and complex networks, are presented at the beginning of the book as reference examples, and these are then discussed from different perspectives with regard to design, simulation, packaging, testing, and post-fabrication modeling. Theoretical concepts are introduced when necessary to complement the practical hints given for all RF-MEMS development stages. Provides researchers and engineers with invaluable practical hints on how to develop novel RF-MEMS device concepts Covers all critical steps, dealing with design, simulation, optimization, characterization and fabrication of MEMS for radio-frequency applications Addresses frequently disregarded issues, explicitly treating the hard to predict interplay between the three-dimensional device structure and its electromagnetic functionality Bridges theory and experiment, fundamental concepts are introduced with the application in mind, and simulation results are validated against experimental results Appeals to the practice-oriented R&D reader: design and simulation examples are based on widely known software packages such as ANSYS and the hardware description language Verilog.

This book explains the physics and properties of multi-gate field-effect transistors (MuGFETs), how they are made and how circuit designers can use them to improve the performances of integrated circuits. It covers the emergence of quantum effects due to the reduced size of the devices and describes the evolution of the MOS transistor from classical structures to SOI (silicon-on-insulator) and then to MuGFETs.

While magnetic devices are used in a range of applications, the availability of up-to-date books on magnetic measurements is quite limited. Collecting state-of-the-art knowledge from information scattered throughout the literature, Handbook of Magnetic Measurements covers a wide spectrum of topics pertaining to magnetic measurements. It describes m