Large-scale MIMO channel state information feedback method based on FCFNN

A channel state information, large-scale technology, applied in the field of communication, can solve problems such as not taking into account the difference between image reconstruction and pure digital restoration, insufficient restoration accuracy, etc., achieve good beamforming gain, improve channel reconstruction quality, and improve quality Effect

Active Publication Date: 2019-04-23
XIDIAN UNIV
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Problems solved by technology

However, this scheme regards the channel matrix composed of pure numbers as an image, and uses a convolutional neural network with strong performance in image reconstruction to process it, without c

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  • Large-scale MIMO channel state information feedback method based on FCFNN
  • Large-scale MIMO channel state information feedback method based on FCFNN
  • Large-scale MIMO channel state information feedback method based on FCFNN

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[0027] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] refer to figure 1 , the specific implementation steps of this example are as follows:

[0029] In this example, the massive MIMO communication system uses frequency division duplex mode FDD, and the channel changes slowly, and the base station uses N t One transmitting antenna, the user end uses one receiving antenna, the communication system uses the OFDM carrier modulation mode, and the number of subcarriers is set to N c .

[0030] Step 1. The UE obtains the channel state information in the space-frequency domain and performs preprocessing to obtain H.

[0031] 1a) The user end estimates the downlink channel state of the massive MIMO system according to the training sequence or pilot sequence sent by the base station, and obtains the space-frequency domain channel matrix H sf ∈ N c ×N t , where N t is the number of tr...

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Abstract

The invention discloses a large-scale MIMO channel state information feedback method based on FCFNN, and mainly aims to solve the problems of overlarge technical feedback overhead and poor channel feedback quality in the prior art. According to the scheme, the method comprises the following steps: on a user side, performing two-dimensional discrete Fourier transform and truncation processing on adownlink channel matrix of a space-frequency domain to obtain a channel matrix H; building a channel feedback model including an encoder and a decoder, and training the channel feedback model; placingthe trained encoder and decoder on the user side and a base station side respectively; inputting the channel matrix H into the encoder to obtain a compressed vector h on the user side, and feeding back the compressed vector to a base station; inputting the h into the decoder to obtain a rebuilt channel matrix by the base station; and performing zero-padding and two-dimension inverse discrete Fourier transform on the rebuilt channel matrix to obtain an original space-frequency domain channel matrix. Through adoption of the large-scale MIMO channel state information feedback method, feedback overhead of the channel state information is lowered, and the channel rebuilding quality is improved remarkably. The large-scale MIMO channel state information feedback method can be applied to a large-scale multi-input and multi-output communication system under a frequency division duplex mode.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a large-scale multiple-input multiple-output MIMO channel state information feedback method, which can be used in a large-scale multiple-input multiple-output MIMO communication system in a frequency division duplex mode. Background technique [0002] Massive MIMO technology based on massive active array antenna is one of the key candidate technologies for 5G wireless communication. By deploying a large number of antennas at the base station, the transmission efficiency and system capacity of the wireless communication system can be further improved, and the interference between users and the energy consumption of the transceiver can be effectively reduced. However, the prerequisite for obtaining the potential performance gain of massive MIMO is that the base station must know accurate downlink channel state information. In the frequency division duplex mode, t...

Claims

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Application Information

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IPC IPC(8): H04B7/0417H04B7/06H04B7/0456G06N3/04H04B7/08
CPCG06N3/04H04B7/0417H04B7/0456H04B7/0617H04B7/0658H04B7/0663H04B7/086
Inventor 高明廖覃明葛建华刘刚黄凤杰潘毅恒
Owner XIDIAN UNIV
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