Channel Quality Dataset

该数据集是一个涵盖多种移动和静止场景的全新信道质量数据集，包含了在选定带宽范围内所有资源块上的CQI和SINR值。数据集以SINR值的二维张量形式呈现，预计未来还会扩展包含更多场景。该数据集涵盖了不同平均速度的各种场景（如火车场景的平均速度为80公里/小时，车内场景为60公里/小时，行人场景为3公里/小时）。其任务是对URLLC的信道质量进行预测。

This dataset is a novel channel quality dataset covering diverse mobile and static scenarios, containing CQI and SINR values across all resource blocks within the selected bandwidth range. It is presented in the form of two-dimensional tensors of SINR values, and is expected to be expanded to include more scenarios in the future. This dataset covers various scenarios with different average speeds: for example, the train scenario has an average speed of 80 km/h, the in-vehicle scenario 60 km/h, and the pedestrian scenario 3 km/h. Its task is channel quality prediction for URLLC.