Read Machine Learning for Future Wireless Communications

Machine Learning for Future Wireless Communications

Fa-Long Luo

4.9/5 (31121 ratings)

Description: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 Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important 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. We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning for Future Wireless Communications. To get started finding Machine Learning for Future Wireless Communications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 1119562252

Description: 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 Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important 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. We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning for Future Wireless Communications. To get started finding Machine Learning for Future Wireless Communications, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Machine Learning for Future Wireless Communications

Machine Learning for Future Wireless Communications

More Books

Applied Neural Networks for Signal Processing

Applied Neural Networks for Signal Processing

[Digital Front-End in Wireless Communications and Broadcasting: Circuits and Signal Processing] (By: Fa-Long Luo) [published: November, 2011]

[Digital Front-End in Wireless Communications and Broadcasting: Circuits and Signal Processing] (By: Fa-Long Luo) [published: November, 2011]

Signal Processing for 5G: Algorithms and Implementations (IEEE Press)

Signal Processing for 5G: Algorithms and Implementations (IEEE Press)

Signal Processing for 5G: Algorithms and Implementations (Wiley - IEEE)

Signal Processing for 5G: Algorithms and Implementations (Wiley - IEEE)

Mobile Multimedia Broadcasting Standards: Technology and Practice

Mobile Multimedia Broadcasting Standards: Technology and Practice

Digital Front-End in Wireless Communications and Broadcasting: Circuits and Signal Processing

Digital Front-End in Wireless Communications and Broadcasting: Circuits and Signal Processing