4 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
Physics-driven AI for Channel Estimation in Cellular Network
Xiaoqian Qi, Haoye Chai, Yong Li
In cellular mobile networks, wireless channel quality (CQ) is a crucial factor in determining communication performance and user's network experience. Accurately predicting CQ base…