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

查看全文 作　　者：Han [1]Xiao;Zhiqin [2]Wang;Wenqiang [1]Tian;Xiaofeng [2]Liu;Wendong [1]Liu;Shi [3]Jin;Jia [1]Shen;Zhi [1]Zhang;Ning [1]Yang

机构地区：[1]Dept.of Standards Research,OPPO,Beijing 100026,China;[2]China Academy of Information and Communications Technology,Beijing 100191,China;[3]National Mobile Communications Research Laboratory,Southeast University,Nanjing 211189,China

出　　处：《China Communications》索引2021年第18卷第11期,共13页

摘　　要：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 1stWAIC,we also list some challenges and potential study areas for the design of AI-based wireless communication systems. 关键词：MIMO CSI feedback deep learning data preprocessing QUANTIZATION

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

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