EDGE INTELLIGENCE FOR 6G NETWORKS

1. Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models,Enabling Framework,and Typical Applications
2. Federated Edge Learning for the Wireless Physical Layer:Opportunities and Challenges
3. Edge Intelligence Assisted Resource Management for Satellite Communication
4. Clustered Federated Learning with Weighted Model Aggregation for Imbalanced Data
5. Federated Reinforcement Learning with Adaptive Training Times for Edge Caching
6. Joint Computing and Communication Resource Allocation for Edge Computing towards Huge LEO Networks
7. Deep Reinforcement Learning Based Joint Partial Computation Offloading and Resource Allocation in Mobility-Aware MEC System

THEORIES & SYSTEMS

1. Performance Analysis of Modulation Techniques in 5G Communication System
2. Register Allocation Compilation Technique for ASIP in 5G Micro Base Stations
3. Blind Nonlinearity Equalization by Machine-Learning-Based Clustering for QAM-Based Quantum Noise Stream Cipher Transmission
4. Collaborative Clustering Parallel Reinforcement Learning for Edge-Cloud Digital Twins Manufacturing System

NETWORKS & SECURITY

1. Secure Resource Allocation in Device-to-Device Communications Underlaying Cellular Networks
2. An Efficient Correlation-Aware Anomaly Detection Framework in Cellular Network
3. Reliability Analysis of Heterogeneous Sensor-Cloud Systems against Targeted Attacks
4. A Continuous Authentication Protocol Without Trust Authority for Zero Trust Architecture

EMERGING TECHNOLOGIES & APPLICATIONS

1. A New Multiple Gateway Transmit Diversity Technique for Future Satellite Networks
2. Arbitrary Scale Super Resolution Network for Satellite Imagery
3. Paving the Way for Economically Accepted and Technically Pronounced Smart Radio Environment

1. Edge Intelligence for 6G Networks