- Blockchain-Enabled Dynamic Spectrum Trading for Next-Generation Wireless Networks
- Multi-RIS-Assisted Covert Communications With Enhanced Physical Layer Security in Cooperative NOMA Networks
- Communication resource allocation and multi-DNN inference optimization in edge computing-aided video analytics
- EMLF-ETD: An efficient multi-level feature representation approach for encrypted traffic detection in variable-length traffic sessions
- Wideband Synchronized Bidirectional Distributed MU-MIMO With Sigma-Delta RoF: E2E Experimental Gains Compared to Collocated MIMO
- ESTAMD: Enhanced Superb Fairy-Wren (SFW)-Based Trajectory Planning for AoI-Aware Multi-UAV IoT Data Collection
- Expressive quantum feature maps for hybrid quantum kernel learning in malware detection
- Spatiotemporal multi-agent learning for joint Digital Twin migration and service function chain deployment in MEC
- VAGNet: Vision-Based Accident Anticipation With Global Features
- Enabling Fault-Tolerant and Load-Balanced Multi-Query Searchable Encryption With Multi-Level Revocation in Edge-Fog-Cloud for Electronic Health Records
- Waveform Optimization for FBMC in a Multiple Access Communication Framework
- Multi Agent Deep Reinforcement Learning for Joint Power Control and Beamforming in mmWave-NOMA HetNets
- Fly-by Transit: A Novel Door-to-Door Shared Mobility With Minimal Stops
- GenMapping: Unveiling the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction
- Improving Urban Traffic Efficiency Through IoT-Based Intelligent Traffic Control Systems and Machine Learning
- Estimation of Pedestrian Risk Level Using Context Features for Remote Monitoring Alert System of Autonomous Micro-Mobility Vehicles
- Multi-objective optimization for UAV-assisted wireless sensor network data collection based on DCMOTD3 algorithm
- Trusted Cryptographic Protocols for IoE: A Survey of Authenticated Cryptographic Frameworks
- Security in UAV-aided data collection in IoT applications: A survey from threats to performance trade-offs
- Spectrum-energy joint optimization for heterogeneous cognitive UASNs
- BRPPFL: A Byzantine-Robust and Privacy-Preserving Framework for Cloud-Edge Federated Learning
- Scheduling cloud–edge federated learning under demand response with carbon neutrality
- FedDBC: A density-based defense against collusion attacks in federated intrusion detection for IoT networks
- A Modular Synthetic Demand Generation Framework for Demand-Responsive Public Transport
- A novel RF-enabled non-destructive inspection method through machine learning and Programmable Wireless Environments
- A review on robustness in Machine Learning based Network Intrusion Detection Systems
- From evidence to decision: Concept–prototype reasoning for intrusion detection in SDN-based industrial networks
- MARINA: A standards-compliant framework for dynamic network optimization in IoV through integrated agent-based routing and multicore MIMO-OFDM systems
- Deterministic protocol conversion scheduling scheme for Industrial Internet of Things
- Rewarding for helping others: An Incentive mechanism to improve the task completion by loss aversion and anchoring effect in mobile crowdsensing
- FileTrust: A blockchain-based auditable backup solution for IoT-driven environments
- Hierarchical Coordination in 6DMA-Enhanced Cell-Free Networks: Joint Association, Position, and Orientation Optimization
- Explainable Root Cause Analysis for Unsupervised Soft Failure Detection in Optical Networks
- Toward Seamless Integration of Terrestrial and Non-Terrestrial 6G Networks: An NFV-SDN Framework for Infrastructure Mobility Management
- Detecting Tor Snowflake as Anomalous WebRTC Traffic Under Extreme Class Imbalance
- Uncertainty-Aware Adaptive Sensor Fusion for Autonomous Navigation
- MoTiVE: A mobility and time-integrated graph autoencoder for trust management in VANETs
- Security risks in O-RAN: Vulnerabilities and mitigation countermeasures
- Engineering breathers in a weakly dissipative nonlinear electrical transmission line
- Federated Combinatorial Neural Contextual Bandit for Multi-Hop Routing in Delay–Doppler FANETs
- Joint Hybrid Sensing and MU-MIMO Scheduling for Enhanced Multi-RAT Coexistence on Unlicensed mmWave Band
- On the Trade-Offs of Statistical CSI and CSI-Free Energy Beamforming for Batteryless MTC
- LoRaWAN Gateway Placement for Network Planning Using Ray Tracing-Based Channel Models
- FedCAMO: Federated Learning Carbon-Aware Multi-Objective Client Selection
- Adaptive transmission design for near-field symbiotic communications aided by XL-IRS
- Model predictive control for wireless communication reliability of mobile inspection robots in substations
- Fairness-Aware Parallel Consensus-Based Voltage Regulation Using Electric Vehicles in Distribution Networks
- Survey and Challenges Discussion of Network Resilience for Post-Disaster and the Space-Air-Ground Integrated Network (SAGIN)
- Toward Goal-Oriented Communication in Multi-Agent Systems: An Overview
- Machine-Vision Aided Low-Complexity Beamforming Methods for IRS Networks
- VTMA: Vision Transformer-Enabled Multi-Level Attentive Model for Image–Text-Based Multimodal Sentiment Analysis
- The Position Optimization Method of AUV-Relay Assisted Underwater Acoustic Covert Communication Against Dynamic Detector in OIoT
- On the Analysis of Platooned Vehicular Networks on Highways
- When BERT meets BLOCK: A pre-training and fine-tuning malicious encrypted traffic detection method based on protocol semantic units
- Achieving accurate and stateless multicast with customized hash function in data center
- A novel hybrid Particle Swarm Optimization for 3D deployment plan of UAV base stations in post-disaster scenarios
- A systematic evaluation of Deep Reinforcement Learning for adaptive NDN forwarding: A gym-based comparative study
- DRL-enabled VLC-based V2X Communication for Platooning in Diverse Environments
- A Bayesian optimization framework for optimizing sliding window RLNC
- An energy-efficient spike-driven wireless federated learning framework for non-IID data
- QRoute: A QoE-aware route planning system for enhancing in-vehicle video streaming
- IMDM-PC: Incremental Multi-Scale Decomposition–Mixing with Physics Consistency for LLM-based ADS-B trajectory anomaly detection
- LITMUS: A lightweight collaborative intrusion detection system for host oriented mimicry attack detection in Industrial Internet of Things networks with dishonest collaborators in the majority
- Auction-Driven Utility Maximization for Multiple Federated Learning in Smart Healthcare
- A Situation-Based Adaptive Defense Framework For IIoT Using Hierarchical Multi-Agent Reinforcement Learning
- HALO: Fault-Tolerant Safety Architecture for High-Speed Autonomous Racing
- Base Station Energy-Aware UAV Data Collection with Combined Single-Hop and Double-Hop Communication in Ad Hoc Networks
- Deep reinforcement learning-based task offloading and resource allocation in space–air–ground integrated IoT networks
- Systematic review on privacy-preserving architectures for IoT and vehicular data sharing: Techniques, challenges, and future directions
- UAV-V2X communications in 6G era: Intelligent networking architecture, applications, security and future directions
- Attention-driven multi-UAV cooperative trajectory control for covert data collection: A multi-agent twin delayed deep deterministic policy gradient approach
- Evaluating and mitigating network covert channels in diverse traffic contexts
- Secure and energy efficient beamforming optimization for MISO ISAC networks
- Lightweight Multimodal Intrusion Detection Method for 6G-Oriented IoT Networks Based on Unsupervised Feature Extraction and Multi-Agent Self-Attention Mechanism
- Decentralized MNO Resource Management for B5G HetNets
- Secondary Throughput Maximization for an UAV-Based Cooperative Jammer in RIS-Aided Energy Harvesting in Secured Cognitive Radio Networks
- Distribution-Agnostic Idle-Age-Aware Joint Channel and Packet-Size Learning in Cognitive Radio Networks
- On the Evaluation of Fluid Antenna System-Assisted Cooperative Relaying With Diversity Combining
- Scaling Trust: A Domain-Specific Relational Extraction for Formal Verification With Limited Data Annotation in NextG Security Protocols
- Efficient computation offloading and hybrid caching update scheme for vehicular edge computing networks
- MsFE-MLP: A Multi-Scale Feature Enhancement Method for Network Security Situation Prediction Based on Multi-Layer perceptron
- Priv-FedTL: Privacy-preserving federated transfer learning for resource constrained devices
- Semantic attack detection in Cooperative Intelligent Transport Systems
- VACA: A Variance-Aware Congestion Avoidance framework for heterogeneous delay tolerant networks
- Node coverage enhancement strategy for underwater wireless sensor network considering acoustic attenuation
- YT-SWIN: Context-Adaptive Spectral Fusion for Cross-Modal UAV Remote Sensing
- Optical Simulation and Image Quality for Automotive Semantic Segmentation
- FINE-STACK: Flexible architecture for low-power lossy IoT Networks with programmablE network STACK and semantic runtime updates
- Congestion-Context-Aware Spatiotemporal Detection of Malicious Flooding in Vehicular Communication Networks
- A Multi-Agent Federated Learning Framework for Privacy-Aware Multimodal Wearable Edge Intelligence in 6G Networks
- RIS-Assisted Near-Field Physical Layer Security for mmWave In-Band Full Duplex Systems
- Joint Communication and Sensing Beamforming Design Under Multi-Antenna Systems
- Orthogonal Time Frequency Space Modulation: A Tutorial View on Delay-Doppler Communications via Zak Transform
- Editorial Board
- End-to-end latency assurance for distributed augmented reality over programmable 6G networks: A DESIRE6G demonstration
- P4Prime: Deterministic runtime consistency and loop verification with faulty switch localization in programmable SDNs
- Rotor Electromagnetic Structure Optimization for Improving the Efficiency of Permanent-Magnet Synchronous Motors in New Energy Vehicles
- Multipath Transmission System Using Multi-Layer Network Performance Prediction for Autonomous Driving
- Optimal Detection Over Multi-Hop Relays With Unknown Source Distribution: Over-the-Air Diffusion
- Deployment-Aware Predictive Resource Allocation in 5G, 6G, and Beyond RANs Using Integrated Deep and Reinforcement Learning
