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ZoomDiff is proposed, a diffusion-based model for multi-scale mobile traffic generation that maps urban environmental context into mobile traffic with multiple spatial and temporal resolutions through a set of customized Denoising Refinement Diffusion Models (DRDM).
A physics-guided two-stage training scheme with a noise prior guidance mechanism, enabling effective fusion of multi-scale physical knowledge with the diffusion models, resulting in a diffusion-model-based RSRP prediction model, Channel-Diff.
Energy consumption has become a pressing concern as mobile networks expand rapidly, with the radio access network accounting for the dominant share. Among energy-saving techniques, cell shutdown offers large saving potential: it selectively switches off capacity cells in heterogeneous networks while a coverage layer pr...
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