Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
The age of information (AoI) is used to measure the freshness of the data. In IoT networks, the traditional resource management schemes […]
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks. In this regard the Wake-up Signal (WuS) technology which […]
A Multi-Stream Feature Fusion Approach for Traffic Prediction
Accurate and timely traffic flow prediction is crucial for intelligent transportation systems (ITS). Recent advances in graph-based neural networks have achieved promising […]