人工智能辅助的信道估计最新研究进展

doi:10.11959/j.issn.1000-0801.2020288

Abstract

Abstract:

As the mainstream of the sixth generation mobile communication development,intelligent communication assisted by artificial intelligence technology is vigorously developing,and has initially demonstrated its advantages over traditional communication methods.As an important component of intelligent communication,artificial intelligence assisted channel estimation shows its superiority over traditional channel estimation algorithms in the existing research results,especially those researches based on compressive sensing technology,super resolution technology,residual learning,etc.Aiming at the channel estimation technology assisted by artificial intelligence,combined with the latest research results in the academic field,the whole picture of the channel estimation technology assisted by artificial intelligence from the four dimensions of deep convolution neural network,deep recurrent neural network,super-resolution technology and compression sensing technology were showed.Finally,the advantages and disadvantages of four kinds of channel estimation methods and their future research directions,and the broad prospect of the combination of channel estimation and deep learning were looked forward.

Key words: artificial intelligence, channel estimation, deep learning, compressive sensing, super resolution

CLC Number:

TN929

Kun LI,Jing ZHANG,Xiao LI,Shi JIN. An overview of artificial intelligence assisted channel estimation[J]. Telecommunications Science, 2020, 36(10): 46-55.

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References 26

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深度学习方法	典型应用场景	特点分析
深度CNN	毫米波大规模MIMO系统	多子网联合、稳健性强、计算复杂度高
深度RNN	时变信道及高速移动场景	聚焦CSI时间相关性、LSTM网络
SR技术	OFDM通信系统	依赖图像去噪算法、稳健性较差
CS技术	毫米波大规模MIMO系统	深层展开理念、复杂的去噪器设计

An overview of artificial intelligence assisted channel estimation

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