This dataset is designed for multi-task learning at the wireless physical layer. It is generated using QuaDRiGa in accordance with the 3GPP standard and models a dual-band communication scenario operating at 1.9 GHz and 28 GHz. The dataset is organized around six channel-related tasks, including channel estimation, time-domain channel prediction, frequency-domain channel prediction, sub-6G-assisted mmWave beam management… See the full description on the dataset page: https://huggingface.co/datasets/pku-pcni-lab/RF-only_channel_dataset_for_LLM4WM.
