Machine Learning for Future Wireless Communications, 1st Edition eTextbook by Fa-Long Luo

Complete eTextbook Content:
Part I: Spectrum Intelligence and Adaptive Resource Management
1. Machine Learning for Spectrum Access and Sharing
2. Reinforcement Learning for Resource Allocation in Cognitive Radio Networks
3. Machine Learning for Spectrum Sharing in Millimeter-Wave Cellular Networks
4. Deep Learning–Based Coverage and Capacity Optimization
5. Machine Learning for Optimal Resource Allocation
6. Machine Learning in Energy Efficiency Optimization
7. Deep Learning Based Traffic and Mobility Prediction
8. Machine Learning for Resource-Efficient Data Transfer in Mobile Crowdsensing
Part II: Transmission Intelligence and Adaptive Baseband Processing
9. Machine Learning–Based Adaptive Modulation and Coding Design
10. Machine Learning–Based Nonlinear MIMO Detector
11. Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach
12. Machine Learning for Joint Channel Equalization and Signal Detection
13. Neural Networks for Signal Intelligence: Theory and Practice
14. Channel Coding with Deep Learning: An Overview
15. Deep Learning Techniques for Decoding Polar Codes
16. Neural Network–Based Wireless Channel Prediction
Part III: Network Intelligence and Adaptive System Optimization
17. Machine Learning for Digital Front-End: a Comprehensive Overview
18. Neural Networks for Full-Duplex Radios: Self-Interference Cancellation
19. Machine Learning for Context-Aware Cross-Layer Optimization
20. Physical-Layer Location Verification by Machine Learning
21. Deep Multi-Agent Reinforcement Learning for Cooperative Edge Caching

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Name: Machine Learning for Future Wireless Communications
Author: Fa-Long Luo
Publisher: Wiley-IEEE
Edition: 1st
ISBN-10: 1119562252
ISBN-13: 978-1119562252
Type: eTextbook

This is a eBook for the actual textbook of Machine Learning for Future Wireless Communications, by Fa-Long Luo.

eTextbook comes in pdf format which can work under all PC based windows operating system and Mac, Linux OS, Iphone, Ipad, Android etc…

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It is exactly same as the actual hardbook. And it is Color Version.

File Includes:

1) A COMPLETE eBook 491 Pages), with all single page and Chapters, Color Version. Same as the original textbook. Comes with PDF file format. Can be read by Adobe Reader.

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