I目录第一章引言................................................................1第二章基于AI/ML的物理层技术..............................................22.1基于AI/ML的无线环境建模与感知.........................................22.2基于AI的信道估计、预测及反馈..........................................42.2.1信道状态信息估计................................................52.2.2信道状态信息预测...............................................122.2.3信道状态信息反馈...............................................152.2.4导频、信道估计、信道反馈、预编码联合设计.......................202.3AI使能的端到端设计...................................................222.4基于AI/ML的信道编译码技术............................................242.4.1基于DNN的编译码算法...........................................252.4.2基于CNN的译码算法.............................................272.4.3基于LSTM网络的译码算法........................................282.4.4基于对抗生成网络译码算法.......................................292.5基于AI/ML的调制与波形技术............................................302.6基于AI/ML的信源信道联合编码技术......................................312.7基于AI的OFDM接收机设计..............................................332.8基于AI的多天线收发技术...............................................352.8.1基于AI的MIMO检测.............................................352.8.2单用户毫米波MIMO混合预编码....................................372.8.3多用户毫米波MIMO混合预编码....................................392.8.4移动自适应协同波束成形.........................................412.8.5基于AI/ML的波束漂移抑制技术...................................432.8.6基于AI/ML的波束跟踪技术.......................................442.9基于AI的多用户接入技术...............................................452.10基于AI的活跃用户检测................................................462.11基于AI的定位技术....................................................49第三章基于AI/ML的链路层技术...................................
