Applications of Machine Learning in Wireless Communications

Herausgeber: He, Ruisi; Ding, Zhiguo

• Gebundenes Buch

Produktbeschreibung

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 modeling, signal estimation and detection, energy efficiency, and more.

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Produktdetails

• Verlag: Institution of Engineering & Technology
• Seitenzahl: 490
• Erscheinungstermin: 15. August 2019
• Englisch
• Abmessung: 240mm x 165mm x 30mm
• Gewicht: 957g
• ISBN-13: 9781785616570
• ISBN-10: 1785616579
• Artikelnr.: 56156398

Inhaltsangabe

* Chapter 1: Introduction of machine learning
* Chapter 2: Machine-learning-enabled channel modeling
* Chapter 3: Channel prediction based on machine-learning algorithms
* Chapter 4: Machine-learning-based channel estimation
* Chapter 5: Signal identification in cognitive radios using machine
learning
* Chapter 6: Compressive sensing for wireless sensor networks
* Chapter 7: Reinforcement learning-based channel sharing in wireless
vehicular networks
* Chapter 8: Machine-learning-based perceptual video coding in wireless
multimedia communications
* Chapter 9: Machine-learning-based saliency detection and its video
decoding application in wireless multimedia communications
* Chapter 10: Deep learning for indoor localization based on bimodal
CSI data
* Chapter 11: Reinforcement-learning-based wireless resource allocation
* Chapter 12: Q-learning-based power control in small-cell networks
* Chapter 13: Data-driven vehicular mobility modeling and prediction