2023/06/03 by Zibing Shen, Jianhua Zhang, Shen, Zibing +9 · 2 citations
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies #FOS: Electrical engineering #Satellite Communication Systems #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2306.02057
openalex publication_date 2023/06/03 · openalex created_date 2023/06/07 · openalex updated_date 2026/07/28
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.