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Penttinen J: Open RAN Explained: The New
Era of Radio Networks

Open RAN Explained: The New Era of Radio Networks

Anticipate the security and privacy threats of the future with this groundbreaking text The development of the next generation of mobile networks (6G), which is expected to be widely deployed by 2030, promises to revolutionize the Internet of Things (IoT), interconnecting a massive number of IoT devices (massive IoT) on a scale never before envisioned. These devices will enable the operation of a wide spectrum of massive IoT applications such as immersive smart cities, autonomous supply chain, flexible manufacturing and more. However, the vast number of interconnected IoT devices in the emerging massive IoT applications will make them vulnerable to an unprecedented variety of security and privacy threats, which must be anticipated in order to harness the transformative potential of these technologies. Security and Privacy for 6G Massive IoT addresses this new and expanding threat landscape and the challenges it poses for network security companies and professionals. It offers a unique and comprehensive understanding of these threats, their likely manifestations, and the solutions available to counter them. The result creates a foundation for future efforts to research and develop further solutions based on essential 6G technologies. Readers will also find: <ul><li>Analysis based on the four-tier network architecture of 6G, enhanced by Edge Computing and Edge Intelligence</li> <li>Detailed coverage of 6G enabling technologies including blockchain, distributed machine learning, and many more</li> <li>Scenarios, use cases, and security and privacy requirements for 6G Massive IoT applications</li></ul> Security and Privacy for 6G Massive IoT is ideal for research engineers working in the area of IoT security and designers working on new 6G security products, among many others.

Security and Privacy for 6G Massive IoT

Technologies and Applications

Internet of Things A to Z

A visually inspiring architectural history of the wire and its representations that illuminates the relationship between telecommunications, technology, and architecture. The Architecture of the Wire explores the development of telecommunications infrastructure and its impact on the architectural and urban culture of the modern age—from poles, wires, and cables, to “micro-architectures,” such as the théâtrophone and the telephone booth. Starting with the intrepid worldwide infrastructures of the late nineteenth century, Carlotta Darò proposes a new history that explores the multiple links and crossroads of such technical “things” with architecture and art. Based on extensive research of North American company archives, and French institutional ones, and drawing on secondary literature in art and architectural history, media studies, and the history of technology, Darò examines the aesthetic implications of material objects that have forever changed our urban, rural, and domestic environments.

A visually inspiring architectural history of the wire and its representations that illuminates the relationship between telecommunications, technology, and architecture. The Architecture of the Wire explores the development of telecommunications infrastructure and its impact on the architectural and urban culture of the modern age—from poles, wires, and cables, to “micro-architectures,” such as the théâtrophone and the telephone booth. Starting with the intrepid worldwide infrastructures of the late nineteenth century, Carlotta Darò proposes a new history that explores the multiple links and crossroads of such technical “things” with architecture and art. Based on extensive research of North American company archives, and French institutional ones, and drawing on secondary literature in art and architectural history, media studies, and the history of technology, Darò examines the aesthetic implications of material objects that have forever changed our urban, rural, and domestic environments.

Infrastructures of Telecommunication

The Architecture of the Wire

Advances in Augmented Reality and Virtual Reality

Resource Optimization in Wireless Communications: Fundamentals, Algorithms, and Applications provides an easy-to-understand overview of the fundamentals of resource optimization, along with the latest algorithms and applications for emerging 5G, and beyond, wireless systems offering a variety of services. Additionally, it covers the principles and resource optimization of some systems expected in 6G. This book is suitable for courses in wireless communications that cover the principles of multicarrier and OFDM, the theory of resource allocation, power allocation, and subcarrier allocation, as well as the principles and optimization of OTFS, ISAC, reflective intelligent surface (RIS)-assisted mmWave, and user-centric cell-free wireless systems. It is also an ideal self-study reference text for researchers and industry engineers who wish to deepen their knowledge while researching and developing wireless systems for 6G.

Fundamentals, Algorithms, and Applications

Resource Optimization in Wireless Communications

Advances in Imaging and Electron Physics

Advances in Optics of Charged Particle Analyzers: Part 2: Volume 233

Mtn, Vodacom and the State

The Political Economy of Mobile Telephony in South Africa

Principles, Advances and Applications of OTFS

Delay Doppler Communications and Sensing

Exploring the Wireless Frontier

Wearable Antennas

IEEE Series on Digital & Mobile Communication

Understand a cutting-edge new class of error correction codes with this introduction Channel coding is a pivotal technique employed to account for potential errors due to channel noise or interference by adding layers of redundancy to information prior to transmission or storage. Should errors appear in the transmitted sequence upon reaching its destination, they can be corrected with reference to the redundant layers. Polar codes are a new class of error correction codes that provably achieve the capacity of binary discrete memoryless channels. Their distinct advantages have led to their incorporation in the logical control channels of the fifth generation of wireless communications (5G). Possessing robust and competitive error correction capabilities for short and medium-length codes positions them strategically to fulfill a pivotal role in various communication systems as we move towards the sixth generation of wireless communication (6G) and beyond. Polar Codes provides a thorough, accessible overview of this new class of codes and its applications. Beginning with the foundational theories underlying polar codes, it guides readers through the construction of polar codes, their variants, and their encoding and decoding processes. The result is a must-have for coding researchers and professionals looking to develop an edge in the wireless communications of the future. Polar Codes readers will also find: <ul> <li>Continuous connections between discussed concepts and current 5G standards</li> <li>Snippets of code in MATLAB/Python to illustrate key tools</li> <li>End of chapter problems and bibliographical notes to facilitate learning and provide references for further reading.</li> </ul> Polar Codes is ideal for graduate students and researchers in coding and information theory, as well as engineers working in communications and related industries.

From Theory to Practice

Polar Codes

Efficient Signal Processing Solutions

Deep Learning Meets FPGA

Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines. Bayesian learning is treated in detail with emphasis on the EM algorithm and its approximate variational versions with a focus on mixture modelling, regression and classification. Nonparametric Bayesian learning, including Gaussian, Chinese restaurant, and Indian buffet processes are also presented. Monte Carlo methods, particle filtering, probabilistic graphical models with emphasis on Bayesian networks and hidden Markov models are treated in detail. Dimensionality reduction and latent variables modelling are considered in depth. Neural networks and deep learning are thoroughly presented, starting from the perceptron rule and multilayer perceptrons and moving on to convolutional and recurrent neural networks, adversarial learning, capsule networks, deep belief networks, GANs, and VAEs. The book also covers the fundamentals on statistical parameter estimation and optimization algorithms. Focusing on the physical reasoning behind the mathematics, without sacrificing rigor, all methods and techniques are explained in depth, supported by examples and problems, providing an invaluable resource to the student and researcher for understanding and applying machine learning concepts.

From the Classics to Deep Networks, Transformers, and Diffusion Models

Machine Learning

Open RAN Explained: The New Era of Radio Networks

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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