With the acceleration of the commercialization of fifth generation (5G) mobile communication technology and the research for 6G communication systems, the communication system has the characteristics of high frequency, multi-band, high speed movement of users and large antenna array. These bring many difficulties to obtain accurate channel state information (CSI), which makes the performance of traditional communication methods be greatly restricted. Therefore, there has been a lot of interest in using artificial intelligence (AI) instead of traditional methods to improve performance. A common and accurate dataset is essential for the research of AI communication. However, the common datasets nowadays still lack some important features, such as mobile features, spatial non-stationary features etc. To address these issues, we give a dataset for future 6G communication. In this dataset, we address these issues with specific simulation methods and accompanying code processing.
@article{arxiv.2306.02057,
title = {DataAI-6G: A System Parameters Configurable Channel Dataset for AI-6G Research},
author = {Zibing Shen and Jianhua Zhang and Li Yu and Yuxiang Zhang and Zhen Zhang and Xidong Hu},
journal= {arXiv preprint arXiv:2306.02057},
year = {2023}
}