Описание: This cohesive treatment of cognitive radio and networking technology integrates information and decision theory to provide insight into relationships throughout all layers of networks and across all wireless applications. It features specific examples of decision-making structures and criteria required to extend network density and scaling to unprecedented levels.
Автор: Mohammad A Matin Название: Towards Cognitive IoT Networks ISBN: 303042572X ISBN-13(EAN): 9783030425722 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers state-of-the-art research contributions written by academics and researchers, which address emerging trends in system design and implementation for the Internet of Things (IoT), and discuss how to promote IoT technologies and applications.
Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.
This book provides a comprehensive understanding of the current state of the art extended by mid- to long-term prospects of cognitive and autonomous network operation. Cognitive and autonomous in this context build two independent dimensions that enable the network to action based on information about its environment, and act independent of any external directions learning from its interactions and improve its responses. The key driver for the book is the need for autonomy in 5G imposed by new requirements due to virtualization of network functions. After a declaration of the need for cognitive autonomy in networks, a comprehensive background of the current position is provided. There follows an outline of the novel approaches, and a substantial description of application of tools for end-to-end cognition, namely configuration, operation, optimization and self-healing. The book ends with an outline describing the challenges of complete autonomy in networks.
Written by industry insiders working at the heart of the technology, this book serves as an essential reference for researchers, scientists and system engineers, plus standardization experts who are laying the foundations for next generation networks.
Описание: SPECTRUM SHARING IN COGNITIVE RADIO NETWORKS
Discover the latest advances in spectrum sharing in wireless networks from two internationally recognized experts in the field
Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments delivers an in-depth and insightful examination of hybrid spectrum access techniques with advanced frame structures designed for efficient spectrum utilization. The accomplished authors present the energy and spectrum efficient frameworks used in high-demand distributed architectures by relying on the self-scheduled medium access control (SMC-MAC) protocol in cognitive radio networks.
The book begins with an exploration of the fundamentals of recent advances in spectrum sharing techniques before moving onto advanced frame structures with spectrum accessing approaches and the role of spectrum prediction and spectrum monitoring to eliminate interference. The authors also cover spectrum mobility, interference, and spectrum management for connected environments in substantial detail.
Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments offers readers a recent and rational theoretical mathematical model of spectrum sharing strategies that can be used for practical simulation of future generation wireless communication technologies. It also highlights ongoing trends, revealing fresh research outcomes that will be of interest to active researchers in the area. Readers will also benefit from:
An inclusive study of connected environments, 3GPP Releases, and the evolution of wireless communication generations with a discussion of advanced frame structures and access strategies in cognitive radio networks
A treatment of cognitive radio networks using spectrum prediction and monitoring techniques
An analysis of the effects of imperfect spectrum monitoring on cognitive radio networks
An exploration of spectrum mobility in cognitive radio networks using spectrum prediction and monitoring techniques
An examination of MIMO-based CR-NOMA communication systems for spectral and interference efficient designs
Perfect for senior undergraduate and graduate students in Electrical and Electronics Communication Engineering programs, Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments will also earn a place in the libraries of professional engineers and researchers working in the field, whether in private industry, government, or academia.
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