Classification-Driven Discrete Neural Representation Learning for Semantic Communications

Integrated sensing, lighting and communication based on visible light communication: A review

Efficient User-Centric AP Clustering Through Stable UE-AP Matching for Indoor VLC Systems

Cooperative Robotics Visible Light Positioning: An Intelligent Compressed Sensing and GAN-Enabled Framework

Sparsity-Aware Intelligent Massive Random Access Control for Massive MIMO Networks: A Reinforcement Learning Based Approach

Block-Sparse Learning Enabled Approach Towards Efficient Channel Estimation for Underwater Visible Light Communications

Sparsity-Aware Channel Estimation for Underwater Acoustic Wireless Networks: A Generative Adversarial Network Enabled Approach

Coexistence of Hybrid VLC-RF and Wi-Fi for Indoor Wireless Communication Systems: An Intelligent Approach

Touch-and-Heal: Data-driven Affective Computing in Tactile Interaction with Robotic Dog

Four-dimensional indoor visible light positioning: A deep-learning-based perspective

Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective

Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective

Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach

Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach

Denoising enabled channel estimation for underwater acoustic communications: A sparsity-aware model-driven learning approach

Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective

Multi-Target Cooperative Visible Light Positioning: A Compressed Sensing Based Framework

Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach

Power Line Communication with Robust Timing and Carrier Recovery against Narrowband Interference for Smart Grid

Jamming for Secrecy: Reinforcement Learning Based Anti-Eavesdropping Visible Light Communication

Learning-Based Efficient Sparse Sensing and Recovery for Privacy-Aware IoMT

Visible Light Integrated Positioning and Communication: A Multi-Task Federated Learning Framework

Three-Dimensional Indoor Visible Light Localization: A Learning-Based Approach

Generative Adversarial Network Enabled Sparse Signal Compression and Recovery for Internet of Medical Things

Deep Learning Based Underwater Acoustic Channel Estimation Exploiting Physical Knowledge on Channel Sparsity

Underwater Acoustic Channel Estimation Based on Sparsity-Aware Deep Neural Networks

MARVEL: Multi-Agent Reinforcement Learning for VANET Delay Minimization

Sparsity-Aware Channel Estimation for mmWave Massive MIMO: A Deep CNN-Based Approach

Sparse Learning Based Implantable Medical Device Transmission against Eavesdropping

UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach

Denoising Deep Sparse Learning Based Channel Estimation for MU-MIMO Systems

Reinforcement learning based energy-efficient internet-of-things video transmission

Coexistence of Cellular V2X and Wi-Fi over Unlicensed Spectrum with Reinforcement Learning

Massive MIMO channel estimation for vehicular communications: A deep learning based approach

Energy Efficient Relay in UAV Networks Against Jamming: A Reinforcement Learning Based Approach

Reinforcement Learning-Based Downlink Interference Control for Ultra-Dense Small Cells

Deep Reinforcement Learning-Enabled Secure Visible Light Communication Against Eavesdropping

Eliminating NB-IoT Interference to LTE System: A Sparse Machine Learning-Based Approach

Impulsive Noise Recovery and Elimination: A Sparse Machine Learning Based Approach

Reinforcement Learning-Based Interference Control for Ultra-Dense Small Cells

Learning Based Power Control for mmWave Massive MIMO against Jamming