Wireless Communication With Artificial Intelligence
Download Wireless Communication With Artificial Intelligence PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Wireless Communication With Artificial Intelligence book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Artificial Intelligence in Wireless Communications
This cutting-edge resource offers practical overview of cognitive radio, a paradigm for wireless communications in which a network or a wireless node changes its transmission or reception parameters. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components. Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine. Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior.
Machine Learning for Future Wireless Communications
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.
Artificial Intelligence for Wireless Communication Systems
The text provides a comprehensive study of the application of advanced artificial intelligence in next-generation wireless communications with a focus on theory, standardization, and core development. It further highlights artificial intelligence-enabled intelligent architecture for 6G networks to realize smart resource management, automatic network adjustment, and intelligent service layers. The book covers artificial-assisted non-orthogonal multiple access schemes for 6G communication. This book: Discusses the use of artificial intelligence in various aspects of wireless communications, including channel modeling, signal detection, channel coding design, and resource management. Explores technical challenges in the ubiquitous 5G wireless networks and the prospects of introducing artificial intelligence-based techniques in the envisioned 6G wireless networks. Presents potential issues in artificial intelligence-enabled approaches in wireless communications. Covers artificial intelligence-enabled energy efficiency optimization and cross-layer optimization in the next-generation wireless networks. Explains artificial empowered security and privacy schemes in next-generation wireless networks and next-generation mobile management. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.