How Long to Read Machine Learning for Future Wireless Communications

How Long Does it Take to Read Machine Learning for Future Wireless Communications?

It takes the average reader 8 hours and 10 minutes to read Machine Learning for Future Wireless Communications by Fa-Long Luo

Assuming a reading speed of 250 words per minute. Learn more

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 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.

How long is Machine Learning for Future Wireless Communications?

Machine Learning for Future Wireless Communications by Fa-Long Luo is 490 pages long, and a total of 122,500 words.

This makes it 165% the length of the average book. It also has 150% more words than the average book.

How Long Does it Take to Read Machine Learning for Future Wireless Communications Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 9 minutes to read Machine Learning for Future Wireless Communications aloud.

What Reading Level is Machine Learning for Future Wireless Communications?

Machine Learning for Future Wireless Communications is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Machine Learning for Future Wireless Communications?

Machine Learning for Future Wireless Communications by Fa-Long Luo is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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