Machine learning for future wireless communications [online] / Fa‐Long Luo Ph.D.

Index

Part III : IoT User Level Authentication Efficient and Anonymous Mutual Authentication Protocol in Multi‐Access Edge Computing (MEC) Environments Biometric‐Based Robust Access Control Model for Industrial Internet of Things Applications Gadget Free Authentication WebMaDa 2.1 – A Web‐Based Framework for Handling User Requests Automatically and Addressing Data Control in Parallel

Part I : Spectrum Intelligence and Adaptive Resource Management Machine Learning for Spectrum Access and Sharing Reinforcement Learning for Resource Allocation in Cognitive Radio Networks Machine Learning for Spectrum Sharing in Millimeter‐Wave Cellular Networks Deep Learning–Based Coverage and Capacity Optimization Machine Learning for Optimal Resource Allocation Machine Learning in Energy Efficiency Optimization Deep Learning Based Traffic and Mobility Prediction Machine Learning for Resource‐Efficient Data Transfer in Mobile Crowdsensing

Part II : Transmission Intelligence and Adaptive Baseband Processing Machine Learning–Based Adaptive Modulation and Coding Design Machine Learning–Based Nonlinear MIMO Detector Adaptive Learning for Symbol Detection: A Reproducing Kernel Hilbert Space Approach Machine Learning for Joint Channel Equalization and Signal Detection Neural Networks for Signal Intelligence: Theory and Practice Channel Coding with Deep Learning: An Overview Deep Learning Techniques for Decoding Polar Codes Neural Network–Based Wireless Channel Prediction

Part III : Network Intelligence and Adaptive System Optimization Machine Learning for Digital Front‐End: a Comprehensive Overview Neural Networks for Full‐Duplex Radios: Self‐Interference Cancellation Machine Learning for Context‐Aware Cross‐Layer Optimization Physical‐Layer Location Verification by Machine Learning Deep Multi‐Agent Reinforcement Learning for Cooperative Edge Caching

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