China Communications
FEATURE TOPIC:ARTIFICIAL INTELLIGENCEDRIVEN FOG-COMPUTING-BASED RADIO ACCESS NETWORKS
- Joint Design of Coalition Formation and Semi-Blind Channel Estimation in Fog Radio Access Networks
- Deep Learning Based Channel Estimation in Fog Radio Access Networks
- A Machine-Learning Based Time Constrained Resource Allocation Scheme for Vehicular Fog Computing
- Efficient Task Completion for Parallel Offloading in Vehicular Fog Computing
- Efficient oneM2M Protocol Conversion Platform Based on NB-IoT Access
COMMUNICATIONS THEORIES &SYSTEMS
- Adaptive Controller Placement in Software Defined Wireless Networks
- Low-Complexity Rate Compatible Modulation with Hybrid Weight Set
- An Offloading Scheme Leveraging on Neighboring Node Resources for Edge Computing over Fiber-Wireless (FiWi) Access Networks
- Performance Analysis of Cooperative NOMA with Energy Harvesting in Multi-Cell Networks
- Effective Capacity in Cognitive Radio Networks with Relay and Primary User Emulator
NETWORKS &SECURITY
- An Efficient Scheduling Scheme for Fronthaul Load Reduction in Fog Radio Access Networks
- Image Tamper Detection and Multi-Scale Self-Recovery Using Reference Embedding with Multi-Rate Data Protection
- UAPM:An Urgency-Aware Packet Management for Disaster Management Using Flying Ad-Hoc Networks
- Labeling Malicious Communication Samples Based on Semi-Supervised Deep Neural Network
- Constant False Alarm Rate Acquisition Algorithm for Compass B1C Signal
- Urban Scene Semantic Segmentation with Insufficient Labeled Data