4 papers
NetSpatial: Spatially Conditional Traffic Generation for Cellular Planning and Operations
Shiyuan Zhang, Jiale Du, Yuanwei Liu +2
Base station (BS) deployment and operation are fundamental to network performance, yet they require accurate demand understanding, which remains difficult for operators. Cellular t…
LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction
Shiyuan Zhang, Tong Li, Zhu Xiao +2
Service-level mobile traffic prediction for individual users is essential for network efficiency and quality of service enhancement. However, current prediction methods are limited…
AI Agent Behavioral Science
Lin Chen, Yunke Zhang, Jie Feng +13
Recent advances in large language models (LLMs) have enabled the development of AI agents that exhibit increasingly human-like behaviors, including planning, adaptation, and social…
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…