Large-scale MIMO time-varying channel state information compression feedback and reconstruction method

Abstract

The invention discloses a large-scale MIMO time-varying channel state information compression feedback and reconstruction method. The method comprises the steps that a channel matrix sequence is acquired, T channel matrixes are subjected to DFT separately, and a channel matrix sequence which is sparse in the angle delay domain is obtained; a channel feedback and reconstruction model CsiNet-LSTM isconstructed, the channel matrix sequence is input to a coder, and codewords are output; the codewords are sequentially input to a decoder, and a reconstructed channel matrix sequence is output; the channel feedback and reconstruction model is trained to gradually approximate to the channel matrix sequence to obtain model parameters; each channel matrix in the output reconstructed channel matrix sequence is subjected to two-dimensional inverse DFT, and a reconstruction value of an original space-frequency domain matrix sequence is obtained through recovery; and channel state information to befed back and reconstructed is input to the model, and a reconstruction value is output. According to the method, the feedback overhead of large-scale MIMO channel information can be reduced, the reconstruction precision is improved, and the excellent robustness is particularly achieved on decrease of the compression ratio.

Description

Technical field [0001] The invention relates to a large-scale MIMO time-varying channel state information compression feedback and reconstruction method, which belongs to the field of communication technology. Background technique [0002] Massive MIMO (multiple-input multiple-output) system has been recognized as one of the most potential revolutionary technologies in the fifth generation of mobile communications. This technology configures multiple antennas at the base station and the user side. When the base station obtains downlink channel state information (CSI), it can eliminate interference between users through channel adaptation technologies such as precoding and beamforming, and use The three dimensions of space, time and frequency transmit information, thereby greatly increasing the system capacity. However, in a frequency division duplex (FDD) MIMO system, the channel does not have reciprocity, and the downlink CSI obtained at the user end needs to be sent to the bas...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a large-scale MIMO time-varying channel state information compression feedback and reconstruction method, and solve the problem of high CSI feedback overhead and poor channel reconstruction performance in the FDD system, and Robust to drops in compression ratio

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