Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model

(2021) Basim Mahbooba et al.   COMPLEXITY

Generative Adversarial Networks (GANs)

(2021) Divya Saxena et al.   ACM COMPUTING SURVEYS

Deep learning based adaptive bit allocation for heterogeneous interference channels

(2021) Esra Aycan Beyazıt et al.   Physical Communication

UAVs as an Intelligent Service: Boosting Edge Intelligence for Air-Ground Integrated Networks

(2021) Chao Dong et al.   IEEE NETWORK

Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Networks

(2021) Benjamin Sliwa et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6 GHz Channel and a Few Pilots

(2021) Feifei Gao et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Reconfigurable Intelligent Surfaces: Potentials, Applications, and Challenges for 6G Wireless Networks

(2021) Sarah Basharat et al.   IEEE WIRELESS COMMUNICATIONS

Downlink CSI Feedback Algorithm With Deep Transfer Learning for FDD Massive MIMO Systems

(2021) Jun Zeng et al.   IEEE Transactions on Cognitive Communications and Networking

MD-GAN-Based UAV Trajectory and Power Optimization for Cognitive Covert Communications

(2021) Zan Li et al.   IEEE Internet of Things Journal

Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities

(2021) Usman Mahmood Malik et al.   IEEE Internet of Things Journal

A Real-Time Fault Early Warning Method for a High-Speed EMU Axle Box Bearing

(2020) Lei Liu et al.   SENSORS

Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks

(2020) Yueyue Dai et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching

(2020) Xianzhe Xu et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Machine Learning-Based Channel Prediction in Massive MIMO With Channel Aging

(2020) Jide Yuan et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Reinforcement learning enabled cooperative spectrum sensing in cognitive radio networks

(2020) Wenli Ning et al.   JOURNAL OF COMMUNICATIONS AND NETWORKS

Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems

(2020) Keming Feng et al.   IEEE Wireless Communications Letters

Q-Learning Based Two-Timescale Power Allocation for Multi-Homing Hybrid RF/VLC Networks

(2020) Justin Kong et al.   IEEE Wireless Communications Letters

Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems

(2020) Jae-Mo Kang   IEEE COMMUNICATIONS LETTERS

Energy Efficient User Clustering, Hybrid Precoding and Power Optimization in Terahertz MIMO-NOMA Systems

(2020) Haijun Zhang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Machine Learning Enabling Analog Beam Selection for Concurrent Transmissions in Millimeter-Wave V2V Communications

(2020) Yang Yang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks

(2020) Chenyu Wu et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

(2020) Thanh Thi Nguyen et al.   IEEE Transactions on Cybernetics

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

(2020) Shunliang Zhang et al.   Computer Networks

Optimal UAV Caching and Trajectory in Aerial-Assisted Vehicular Networks: A Learning-Based Approach

(2020) Huaqing Wu et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Visible Light Communication in 6G: Advances, Challenges, and Prospects

(2020) Nan Chi et al.   IEEE Vehicular Technology Magazine

The shift to 6G communications: vision and requirements

(2020) Muhammad Waseem Akhtar et al.   Human-centric Computing and Information Sciences

Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems

(2020) Ryan Wen Liu et al.   IEEE Internet of Things Journal

Machine-Learning-Based Prediction Methods for Path Loss and Delay Spread in Air-to-Ground Millimeter Wave Channels

(2019) Yan Zhang et al.   IET Microwaves Antennas & Propagation

UAV Communications Based on Non-Orthogonal Multiple Access

(2019) Yuanwei Liu et al.   IEEE WIRELESS COMMUNICATIONS

Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks

(2019) Mingzhe Chen et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Machine Learning-Based Bandwidth Prediction for Low-Latency H2M Applications

(2019) Lihua Ruan et al.   IEEE Internet of Things Journal

Deep Learning for Secure Mobile Edge Computing in Cyber-Physical Transportation Systems

(2019) Yuanfang Chen et al.   IEEE NETWORK

Sensing Coverage-Based Cooperative Spectrum Detection in Cognitive Radio Networks

(2019) Junhee Kim et al.   IEEE SENSORS JOURNAL

Artificial Neural Network Optimal Modeling and Optimization of UAV Measurements for Mobile Communications Using the L-SHADE Algorithm

(2019) Sotirios K. Goudos et al.   IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

Deep Reinforcement Learning Based Resource Allocation for V2V Communications

(2019) Hao Ye et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

UAV Positioning for Throughput Maximization Using Deep Learning Approaches

(2019) Yayeh Munaye et al.   SENSORS

AI-Enabled Future Wireless Networks: Challenges, Opportunities, and Open Issues

(2019) Medhat Elsayed et al.   IEEE Vehicular Technology Magazine

Application of an Ensemble Method to UAV Power Modeling for Cellular Communications

(2019) Sotirios K. Goudos et al.   IEEE Antennas and Wireless Propagation Letters

Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

(2019) Yasar Sinan Nasir et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Cooperative Communications With Relay Selection Based on Deep Reinforcement Learning in Wireless Sensor Networks

(2019) Yuhan Su et al.   IEEE SENSORS JOURNAL

Applications of Generative Adversarial Networks (GANs): An Updated Review

(2019) Hamed Alqahtani et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

GAN-Powered Deep Distributional Reinforcement Learning for Resource Management in Network Slicing

(2019) Yuxiu Hua et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

An EM-Based User Clustering Method in Non-Orthogonal Multiple Access

(2019) Jie Ren et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Energy Minimization in D2D-Assisted Cache-Enabled Internet of Things: A Deep Reinforcement Learning Approach

(2019) Jie Tang et al.   IEEE Transactions on Industrial Informatics

Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning

(2019) Yusuke Koda et al.   IEEE Transactions on Cognitive Communications and Networking

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines

(2018) David Charte et al.   Information Fusion

Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory

(2018) Erick de la Rosa et al.   IEEE Transactions on Systems Man Cybernetics-Systems

IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

(2018) Liang Xiao et al.   IEEE SIGNAL PROCESSING MAGAZINE

An Intelligent Outlier Detection Method with One Class Support Tucker Machine and Genetic Algorithm towards Big Sensor Data in Internet of Things

(2018) Xiaowu Deng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Unsupervised Machine Learning Based User Clustering in mmWave-NOMA Systems

(2018) Jingjing Cui et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Deep Reinforcement Learning Based Mode Selection and Resource Management for Green Fog Radio Access Networks

(2018) Yaohua Sun et al.   IEEE Internet of Things Journal

Reinforcement Learning based Multi-Access Control and Battery Prediction with Energy Harvesting in IoT Systems

(2018) Man Chu et al.   IEEE Internet of Things Journal

Joint Optimization of Caching, Computing, and Radio Resources for Fog-Enabled IoT Using Natural Actor–Critic Deep Reinforcement Learning

(2018) Yifei Wei et al.   IEEE Internet of Things Journal

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

Network Intrusion Detection through Stacking Dilated Convolutional Autoencoders

(2017) Yang Yu et al.   Security and Communication Networks

Automatic Root Cause Analysis for LTE Networks Based on Unsupervised Techniques

(2016) Ana Gomez-Andrades et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A comparative study of efficient initialization methods for the k-means clustering algorithm

(2012) M. Emre Celebi et al.   EXPERT SYSTEMS WITH APPLICATIONS