8 papers
Beyond Static Forecasting: Unleashing the Power of World Models for Mobile Traffic Extrapolation
Xiaoqian Qi, Haoye Chai, Yue Wang +1
Mobile traffic prediction is a fundamental yet challenging problem for wireless network planning and optimization. Conventional models mainly learn static long-term temporal patter…
Physics-informed Diffusion Models for Multi-scale Prediction of Reference Signal Received Power in Wireless Networks
Xiaoqian Qi, Haoye Chai, Yue Wang +2
The Reference Signal Received Power (RSRP) is a crucial factor that determines communication performance in mobile networks. Accurately predicting the RSRP can help network operato…
Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic
Xiaoqian Qi, Haoye Chai, Sichang Liu +4
The planning, management, and resource scheduling of cellular mobile networks require joint estimation of mobile traffic across different layers and nodes. Mobile traffic generatio…
MobiGPT: A Foundation Model for Mobile Wireless Networks
Xiaoqian Qi, Haoye Chai, Yong Li
With the rapid development of mobile communication technologies, future mobile networks will offer vast services and resources for commuting, production, daily life, and entertainm…
UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization
Haoye Chai, Shiyuan Zhang, Xiaoqian Qi +2
Mobile traffic forecasting allows operators to anticipate network dynamics and performance in advance, offering substantial potential for enhancing service quality and improving us…
MobiWorld: World Models for Mobile Wireless Network
Haoye Chai, Yuan Yuan, Yong Li
Accurate modeling and simulation of mobile networks are essential for enabling intelligent and cost-effective network optimization. In this paper, we propose MobiWorld, a generativ…