  In this paper, we give a systematic description of the 1st Wireless
Communication Artificial Intelligence (AI) Competition (WAIC) which is hosted
by IMT-2020(5G) Promotion Group 5G+AI Work Group. Firstly, the framework of
full channel state information (F-CSI) feedback problem and its corresponding
channel dataset are provided. Then the enhancing schemes for DL-based F-CSI
feedback including i) channel data analysis and preprocessing, ii) neural
network design and iii) quantization enhancement are elaborated. The final
competition results composed of different enhancing schemes are presented.
Based on the valuable experience of 1st WAIC, we also list some challenges and
potential study areas for the design of AI-based wireless communication
systems.
