A new 3D radio map dataset with DoA and ToA labels and a 3D diffusion benchmark are introduced, but the evaluation lacks baselines and covers only part of the modalities.
Federated learning in massive mimo 6g networks: Convergence analysis and communication-efficient design,
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RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
A new 3D radio map dataset with DoA and ToA labels and a 3D diffusion benchmark are introduced, but the evaluation lacks baselines and covers only part of the modalities.