Classification-Driven Discrete Neural Representation Learning for Semantic Communications

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

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

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

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

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

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

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

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

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

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

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

MARVEL: Multi-Agent Reinforcement Learning for VANET Delay Minimization

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