LSDM predicts next-hour mobile traffic per app category by feeding a diffusion model with satellite imagery, POI counts, and LLM-generated text descriptions, outperforming eight baselines on a single real-world dataset.
Kgda: A knowledge graph driven decomposition approach for cellular traffic prediction,
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LSDM: LLM-Enhanced Spatio-temporal Diffusion Model for Service-Level Mobile Traffic Prediction
LSDM predicts next-hour mobile traffic per app category by feeding a diffusion model with satellite imagery, POI counts, and LLM-generated text descriptions, outperforming eight baselines on a single real-world dataset.