Applications of Machine Learning in Wireless Communications (Telecommunications)
by: Ruisi He
ISBN-10: 1785616579
ISBN-13: 9781785616570
Publication Date 出版日期: 2019-08-15
Print Length 页数: 490 pages
Book Description
By finelybook
Machine learning explores the study and development of algorithms that can learn from and make predictions and decisions based on data. Applications of machine learning in wireless communications have been receiving a lot of attention,especially in the era of big data and IoT,where data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues.
This edited book presents current and future developments and trends in wireless communication technologies based on contributions from machine learning and other fields of artificial intelligence,including channel modelling,signal estimation and detection,energy efficiency,cognitive radios,wireless sensor networks,vehicular communications,and wireless multimedia communications. The book is aimed at a readership of researchers,engineers and students working on wireless communications and machine learning,especially those working with big data and artificial intelligence multi-disciplinary fields related to wireless communication technologies.
Contents
Foreword
1Introduction of machine learning
2Machine-learning-enabled channel
modeling
3 Channel prediction based on
machine-learning algorithms
4 Machine-learning-based channel estimation
5 Signal identification in cognitive radios
using machine learning
6Compressive sensing for wireless sensor
networks
7 Reinforcement learning-based channel
sharing in wireless vehicular networks
8 Machine-learning-based perceptual video
coding in wireless multimedia
communications
9 Machine-learning-based saliency detection
and its video decoding application in wireless
multimedia communications
10 Deep learning for indoor localization
based on bimodal CSI data
11 Reinforcement-learning-based wireless
resource allocation
12 learning-based power control in small-cell
networks
13 Data-driven vehicular mobility modeling
and prediction
Index
Back Cover
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