Machine Learning for Future Wireless Communications free ebook download.

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Machine Learning for Future Wireless Communications free ebook download

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Networking

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Catalogue

Author(s):	Fa-Long Luo

Date:	2020	Format:	pdf	Language:	English	ISBN/ASIN:	1119562252
Pages:	650	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	10/15/2024 7:06:50 AM

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1119562252 pdf
Preface
Due to its powerful nonlinear mapping and distribution processing capability, deep NN-based machine learning technology is being considered as a very promising tool to attack the big challenge in wireless communications and networks imposed by the explosively increasing demands in terms of capacity, coverage, latency, e?ciency (power, frequency spectrum, and other resources), ?exibility, compatibility, quality of experience, and silicon convergence.
Mainly categorized into supervised learning, unsupervised learning, and reinforcement learning, various machine learning (ML) algorithms can be used to provide better channel modeling and estimation in millimeter and terahertz bands  to select a more adaptive modulation (waveform, coding rate, bandwidth, and ?ltering structure) in massive multiple-input and multiple-output (MIMO) technology  to design more e?cient front-end and radio-frequency processing (pre-distortion for power ampli?er compensation, beamforming con?guration, and crest-factor reduction)  to deliver a better compromise in self-interference cancellation for full-duplex transmissions and device-to-device communications  and to o?er a more practical solution for intelligent network optimization, mobile edge computing, networking slicing, and radio resource management related to wireless big data, mission-critical communications, massive machine-type communications, and tactile Internet.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3273780	Book	https://nitroflare.com/view/0B7AB03465EE...		20.00	eternal

Tags: Communications Future Learning Machine Wireless

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