Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks, Krishna Kant Singh, Akansha Singh, Korhan Cengiz,
Автор: Chih-Lin I, Guanding Yu, Shuangfeng Han, Geoffrey Название: Green and Software-defined Wireless Networks: From Theory to Practice ISBN: 1108417329 ISBN-13(EAN): 9781108417327 Издательство: Cambridge Academ Рейтинг: Цена: 14279 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understand the fundamental theory and practical design aspects of green and soft wireless communications networks with this expert text. It provides comprehensive and unified coverage of 5G physical layer design, as well as design of the higher and radio access layers and the core network, drawing on viewpoints from both academia and industry. Get to grips with the theory through authoritative discussion of information-theoretical results, and learn about fundamental green design trade-offs, software-defined network architectures, and energy efficient radio resource management strategies. Applications of wireless big data and artificial intelligence to wireless network design are included, providing an excellent design reference, and real-world examples of employment in software-defined 5G networks and energy saving solutions from wireless communications companies and cellular operators help to connect theory with practice. This is an essential text for graduate students, professionals and researchers.
Автор: Fa–Long Luo Название: Machine Learning for Future Wireless Communications ISBN: 1119562252 ISBN-13(EAN): 9781119562252 Издательство: Wiley Рейтинг: Цена: 20328 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A comprehensive review to the theory, application and research of machine learning for future wireless communications
In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities.
Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author - a noted expert on the topic - covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource:
Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks
Covers a range of topics from architecture and optimization to adaptive resource allocations
Reviews state-of-the-art machine learning based solutions for network coverage
Includes an overview of the applications of machine learning algorithms in future wireless networks
Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing
Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Описание: As technology continues to develop, certain innovations are beginning to cover a wide range of applications, specifically mobile robotic systems. The boundaries between the various automation methods and their implementations are not strictly defined, with overlaps occurring. Specificity is required regarding the research and development of android systems and how they pertain to modern science. Control and Signal Processing Applications for Mobile and Aerial Robotic Systems is a pivotal reference source that provides vital research on the current state of control and signal processing of portable robotic designs. While highlighting topics such as digital systems, control theory, and mathematical methods, this publication explores original inquiry contributions and the instrumentation of mechanical systems in the industrial and scientific fields. This book is ideally designed for technicians, engineers, industry specialists, researchers, academicians, and students seeking current research on today's execution of mobile robotic schemes.
Автор: Maria-Gabriella Di Benedetto; Andrea F. Cattoni; J Название: Cognitive Radio and Networking for Heterogeneous Wireless Networks ISBN: 3319378619 ISBN-13(EAN): 9783319378619 Издательство: Springer Рейтинг: Цена: 15264 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combining expert European opinion from academia and industry, this overview of the latest developments in cognitive radio and networking technology considers a host of topics including air interfaces for spectrum-sharing and the evolving regulatory framework.
Название: Soft Computing Applications in Sensor Networks ISBN: 1482298759 ISBN-13(EAN): 9781482298758 Издательство: Taylor&Francis Рейтинг: Цена: 25410 р. Наличие на складе: Невозможна поставка.
Описание: This book uses tutorials and new material to describe the basic concepts of soft-computing which potentially can be used in real-life sensor network applications. It is organized in a manner that exemplifies the use of an assortment of soft-computing applications for solving different problems in sensor networking. Written by worldwide experts, the chapters provide a balanced mixture of different problems concerning channel access, routing, coverage, localization, lifetime maximization and target tracking using emerging soft-computing applications.
Автор: Yang Yang; Jing Xu; Guang Shi; Cheng-Xiang Wang Название: 5G Wireless Systems ISBN: 3319871811 ISBN-13(EAN): 9783319871813 Издательство: Springer Рейтинг: Цена: 17076 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on key simulation and evaluation technologies for 5G systems. Based on the most recent research results from academia and industry, it describes the evaluation methodologies in depth for network and physical layer technologies. The evaluation methods are discussed in depth. It also covers the analysis of the 5G candidate technologies and the testing challenges, the evolution of the testing technologies, fading channel measurement and modeling, software simulations, software hardware cosimulation, field testing and other novel evaluation methods. The fifth-generation (5G) mobile communications system targets highly improved network performances in terms of the network capacity and the number of connections.Testing and evaluation technologies is widely recognized and plays important roles in the wireless technology developments, along with the research on basic theory and key technologies. The investigation and developments on the multi-level and comprehensive evaluations for 5G new technologies, provides important performance references for the 5G technology filtering and future standardizations. Students focused on telecommunications, electronic engineering, computer science or other related disciplines will find this book useful as a secondary text. Researchers and professionals working within these related fields will also find this book useful as a reference.
Описание: <em>Evolution of Cognitive Networks and Self-Adaptive Communication Systems</em> overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organising networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends towards a unified realisation for cognitive networking and communication systems.
Описание: MASTER THE ABILITY TO APPLY BIG DATA ANALYTICS TO MASSIVE AMOUNTS OF STRUCTURED AND UNSTRUCTURED DATA Cognitive computing is a technique that allows humans and computers to collaborate in order to gain insights and knowledge from data by uncovering patterns and anomalies. This comprehensive guide explains the underlying technologies, such as artificial intelligence, machine learning, natural language processing, and big data analytics. It then demonstrates how you can use these technologies to transform your organization. You will explore how different vendors and different industries are applying this emerging technology to help customers gain insights and take actions from their data. You will study detailed case histories from the financial, healthcare, and manufacturing industries, with step–by–step examinations of the design and testing of cognitive systems. You will benefit from the expert perspectives of organizations such as Welltok, Cleveland Clinic, and Memorial Sloan–Kettering as well as commercial vendors such as IBM, Google, Amazon, Hitachi, Dell, Cisco, and Numenta that are creating solutions, and demonstrating real–world implementation of cognitive computing systems. This book will go into detail about IBM s Watson platform and how it has influenced the development of cognitive computing. Cognitive systems are ushering in a new era of computing. In this book, you will learn how these technologies can enable emerging firms to compete with entrenched giants and forward–thinking, established organizations to disrupt their industries. You will gain both the theoretical and practical guidance you need to apply this technology, including: How cognitive computing is evolving from promise to reality Foundational services that are part of a cognitive computing system The distinguishing features of a cognitive computing system and how they work How to determine the underlying advanced analytics that support the development of a cognitive system The role of cloud and distributed computing Techniques for building a cognitive application Ways to leverage cognitive computing capabilities to transform your organization
Автор: Ekram Hossain; Vijay K. Bhargava Название: Cognitive Wireless Communication Networks ISBN: 1441943315 ISBN-13(EAN): 9781441943316 Издательство: Springer Рейтинг: Цена: 19428 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a unified view on the state-of-the-art of cognitive radio technology. It includes a set of research and survey articles featuring the recent advances in theory and applications of cognitive radio technology for the next generation (e.g., fourth generation) wireless communication networks.
Описание: This book discusses in-depth the concept of distributed artificial intelligence (DAI) and its application to cognitive communications In this book, the authors present an overview of cognitive communications, encompassing both cognitive radio and cognitive networks, and also other application areas such as cognitive acoustics.
Автор: Athanasios V. Vasilakos; Roberto Beraldi; Roy Frie Название: Autonomic Computing and Communications Systems ISBN: 3642114814 ISBN-13(EAN): 9783642114816 Издательство: Springer Рейтинг: Цена: 10394 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the thoroughly refereed post-conference proceedings of the thirs International ICST conference on Autonomic Computing and Communication Systems, Autonomics 2009, held in Cyprus University of Technology, Limassol, Cyprus, in September 2009. Thsi title covers various aspects of autonomic computing including application, and middelware.
