Learning-Based Reliable and Secure Transmission for UAV-RIS-Assisted Communication Systems

Intelligent Weighted Energy Consumption and Delay Optimization for UAV-Assisted MEC Under Malicious Jamming

Efficient Beacon-Aided AUV Localization: A Reinforcement Learning Based Approach

Deep Reinforcement Learning based Multi-attribute Auction Model for Resource Allocation in Vehicular AIGC Services

Pareto-Optimal Aerial-Ground Energy Minimization for Aerial 3D Mobile Edge Computing Networks

Penalized Reinforcement Learning-Based Energy-Efficient UAV-RIS Assisted Maritime Uplink Communications Against Jamming

Learning-Based Resource Management Optimization for UAV-Assisted MEC Against Jamming

When Metaverses Meet Vehicle Road Cooperation: Multi-Agent DRL-Based Stackelberg Game for Vehicular Twins Migration

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework

When Metaverses Meet Vehicle Road Cooperation: Multi-Agent DRL-Based Stackelberg Game for Vehicular Twins Migration

Hybridization of Localized Spoof Plasmonic Skyrmions and its Application in Micro-Displacement Sensing

Channel Blocklength Minimization in MU-MISO Nonorthogonal Multiple Access for URLLC Services

Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning Approach

Recent Progress in Visible Light Positioning and Communication Systems

Resource Allocation in MU-MISO Rate-Splitting Multiple Access With SIC Errors for URLLC Services

Resource Allocation in Uplink NOMA Systems: A Hybrid-Decision-Based Multi-Agent Deep Reinforcement Learning Approach

Active RIS-Aided EH-NOMA Networks: A Deep Reinforcement Learning Approach

DRL-Based Multidimensional Resource Management in SWIPT-NOMA-Enabled MEC

An Advanced Integrated Visible Light Communication and Localization System

Reinforcement Learning Based AUV Localization in Underwater Acoustic Sensor Networks

Energy and Latency-Aware Resource Management for UAV-Assisted Mobile Edge Computing Against Jamming

Reliable Communications for Hypersonic Vehicles: A Reinforcement Learning Approach

Multi-Agent Reinforcement Learning for Wireless Networks Against Adversarial Communications

Joint Trajectory Optimization and Power Control for Cognitive UAV-Assisted Secure Communications

Lead federated neuromorphic learning for wireless edge artificial intelligence

Deep Reinforcement Learning-Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications

IRS-Aided Energy-Efficient Secure WBAN Transmission Based on Deep Reinforcement Learning

Advanced NOMA Assisted Semi-Grant-Free Transmission Schemes for Randomly Distributed Users

Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge Computing

Energy-Efficient Collaborative Inference in MEC: A Multi-Agent Reinforcement Learning Based Approach