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View article: MobiGPT: A Foundation Model for Mobile Wireless Networks
MobiGPT: A Foundation Model for Mobile Wireless Networks Open
With the rapid development of mobile communication technologies, future mobile networks will offer vast services and resources for commuting, production, daily life, and entertainment. Accurate and efficient forecasting of mobile data (e.g…
View article: Minimum Round‐Trip Time Prediction for Low Earth Orbit Satellite Networks
Minimum Round‐Trip Time Prediction for Low Earth Orbit Satellite Networks Open
Low Earth orbit (LEO) satellite networks, characterized by wide coverage, low latency, and high bandwidth, will be a key component of the future 6G mobile communication networks. However, the periodic handover of satellites in LEO networks…
View article: Physics-driven AI for Channel Estimation in Cellular Network
Physics-driven AI for Channel Estimation in Cellular Network Open
In cellular mobile networks, wireless channel quality (CQ) is a crucial factor in determining communication performance and user's network experience. Accurately predicting CQ based on real environmental characteristics, specific base stat…
View article: UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization
UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization Open
Mobile traffic forecasting allows operators to anticipate network dynamics and performance in advance, offering substantial potential for enhancing service quality and improving user experience. However, existing models are often task-orie…
View article: Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization
Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization Open
With the rapid development of the Fifth Generation Mobile Communication Technology (5G) networks, network planning and optimization have become increasingly crucial. Generating high-fidelity network traffic data can preemptively estimate t…
View article: Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation
Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation Open
Generating mobile traffic in urban contexts is important for network optimization. However, existing solutions show weakness in capturing complex temporal features of mobile traffic. In this paper, we propose a Knowledge-Guided Conditional…
View article: Empowering Spatial Knowledge Graph for Mobile Traffic Prediction
Empowering Spatial Knowledge Graph for Mobile Traffic Prediction Open
Accurately predicting base station traffic volumes and understanding mobile traffic patterns is essential for smart city development, enabling efficient resource allocation and ensuring high-quality communication services. However, existin…
View article: Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles
Digital twin empowered lightweight and efficient blockchain for dynamic internet of vehicles Open
The Internet of Vehicles (IoV) has great potential for Intelligent Transportation Systems (ITS), enabling interactive vehicle applications, such as advanced driving and infotainment. It is crucial to ensure the reliability during the vehic…
View article: Intelligent Sensing Scheduling for Mobile Target Tracking Wireless Sensor Networks
Intelligent Sensing Scheduling for Mobile Target Tracking Wireless Sensor Networks Open
Edge computing has emerged as a prospective paradigm to meet ever-increasing computation demands in Mobile Target Tracking Wireless Sensor Networks (MTT-WSN). This paradigm can offload time-sensitive tasks to sink nodes to improve computin…
View article: Secure and Efficient Blockchain based Knowledge Sharing for Intelligent Connected Vehicles
Secure and Efficient Blockchain based Knowledge Sharing for Intelligent Connected Vehicles Open
The emergence of Intelligent Connected Vehicles (ICVs) shows great potential for future intelligent traffic systems, enhancing both traffic safety and road efficiency. However, the ICVs relying on data driven perception and driving models …
View article: Secure and Efficient Blockchain based Knowledge Sharing for Connected Autonomous Vehicles
Secure and Efficient Blockchain based Knowledge Sharing for Connected Autonomous Vehicles Open
The emergence of Connected Autonomous Vehicles (CAVs) shows great potential for future intelligent traffic systems, enhancing both traffic safety and road efficiency. However, the CAVs relying on data driven perception and driving models f…
View article: Proof-of-Reputation Based-Consortium Blockchain for Trust Resource Sharing in Internet of Vehicles
Proof-of-Reputation Based-Consortium Blockchain for Trust Resource Sharing in Internet of Vehicles Open
Resource sharing among vehicles can highly improve the capability and efficiency of Internet of Vehicles (IoV). However, it is challenging to establish trust and preserve privacy during the resource sharing process because of the high mobi…