AI Enlightens Wireless Communication: Analyses, Solutions and Opportunities on CSI Feedback

Han Xiao; Jia Shen; Ning Yang; Shi Jin; Wendong Liu; Wenqiang Tian; Xiaofeng Liu; Zhiqin Wang; Zhi Zhang

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AI Enlightens Wireless Communication: Analyses, Solutions and Opportunities on CSI Feedback

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arxiv 2106.06759 v2 pith:UYE73CZG submitted 2021-06-12 eess.SP

Han Xiao , Zhiqin Wang , Wenqiang Tian , Xiaofeng Liu , Wendong Liu , Shi Jin , Jia Shen , Zhi Zhang

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Ning Yang

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keywords channelcommunicationfeedbackwirelesscompetitiondesignenhancingf-csi

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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.

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