Bøger i Foundations in Signal Processing, Communications and Networking serien

Dieses Buch bietet ein Tutorial über Quantenkommunikationsnetze. Die Autoren erörtern aktuelle Paradigmenwechsel in Kommunikationsnetzen, die erforderlich sind, um die einfachen Transportkonzepte der vorherrschenden Netze um Rechen- und Speicherfunktionen zu ergänzen. Sie zeigen, wie diese "softwarisierten" Lösungen neue Wege beschreiten, um Latenzzeiten zu reduzieren und die Ausfallsicherheit zu erhöhen. Die Autoren erörtern, wie diese Lösungen trotz der ihnen innewohnenden Probleme aufgrund der eingeführten Rechenlatenz und des Energieverbrauchs durch hybride klassisch-quantische Kommunikationsnetze gelöst werden können. Das Buch bringt Quantennetzwerke, Quanteninformationstheorie, Quantencomputer und Quantensimulation zusammen.

The volume "Storing and Transmitting Data" is based on Rudolf Ahlswede's introductory course on "Information Theory I" and presents an introduction to Shannon Theory. For the two next, Shannon presented an impressive mathematical theory called Information Theory, which he based on probabilistic models.

This book investigates adaptive physical-layer beamforming and resource allocation that ensure reliable data transmission in the multi-antenna broadcast channel.

This book proposes representations of multicast rate regions in wireless networks based on the mathematical concept of submodular functions, e.g., the submodular cut model and the polymatroid broadcast model.

Devoted to information security, this volume begins with a short course on cryptography, mainly basedon lectures given by Rudolf Ahlswede at the University of Bielefeld in the mid1990s.

Whereas the first part of the book concentrates on combinatorial methods in order to analyse classical codes as prefix codes or codes in the Hamming metric, the second is devoted to combinatorial models in Information Theory.

The calculation of channel capacities was one of Rudolf Ahlswede's specialties and is the main topic of this second volume of his Lectures on Information Theory. For transmission and hiding data, Shannon developed an impressive mathematical theory called Information Theory, which he based on probabilistic models.

This award-winning volume analyzes the MIMO channel's maximum high-power performance and answers the fundamental question of feasibility in quality-of-service based optimizations characterized by inelastic traffic that features strict delay constraints.

Interference Calculus develops a mathematical framework for modeling and optimizing interference-coupled multiuser systems. The concept of general interference functions is the core of the framework, which provides a simple means of characterizing interdependencies between users.

Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.

This book offers a framework for modeling and solving utility maximization problems in nonconvex wireless systems, presenting a general model for utility optimization in wireless systems, methods for solving problems, and case studies showing the model in use.

This volume discusses various aspects of the capacity/achievable data rate of stationary Rayleigh fading channels, studying among other topics the achievable rate with receivers based on synchronized detection and a code-aided channel estimation.

In an in-depth analysis of selected methods in signal and system theory that apply to problems in communications, stochastic processes and optimal filter theory, the authors take a functional analysis and operator theoretic approach to linear system theory

Future wireless networks will be integrated into every aspect of daily life. Therefore, the main objective of this book is to provide tools for better understanding the fundamental tradeoffs and interdependencies in wireless networks.

This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a comprehensive overview of key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics.

The fifth volume of Rudolf Ahlswede's lectures on Information Theory focuses on several problems that were at the heart of a lot of his research. After a short Part II on continuous data compression, Part III, the longest part of the book, is devoted to distributed information.