Quantization and inverse quantization method in large-scale MIMO channel state information feedback

A channel state information, large-scale technology, applied in the field of communication, to achieve good quantization effect, high signal-to-noise ratio, and reduce quantization errors.

Active Publication Date: 2019-10-08
SOUTHEAST UNIV
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Problems solved by technology

Therefore, before transmission, the measurement matrix obtained by compressed sensing needs to be quantized and coded, but also introduces quantization errors

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  • Quantization and inverse quantization method in large-scale MIMO channel state information feedback
  • Quantization and inverse quantization method in large-scale MIMO channel state information feedback
  • Quantization and inverse quantization method in large-scale MIMO channel state information feedback

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[0033] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0034] Such as figure 1 As shown, the present invention designs a method for quantization and inverse quantization in massive MIMO channel state information compression feedback reconstruction, which specifically includes the following steps:

[0035] Step 1: At the MIMO user end, obtain the channel matrix of the channel state information in the space-frequency domain And perform a two-dimensional discrete Fourier transform on it to obtain a channel matrix H that is sparse in the angle-time delay domain. The specific formula is described as follows:

[0036]

[0037] Step 2: Construct Quantized-CsiNet, a quantized channel feedback and reconstruction model. This model includes an encoder, a decoder, and quantization and inverse quantization modules, where the encoder and quantization modules belong to the user end, and the inverse quantization m...

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Abstract

The invention discloses a quantization and inverse quantization method in large-scale MIMO channel state information feedback. The method comprises the following steps: firstly, acquiring a channel matrix at a user side, and performing two-dimensional DFT on the channel matrix, so that the channel matrix in a space-frequency domain is transformed into a channel matrix sparse in an angle-time delaydomain; secondly, constructing a model Quantized-CsiNet which is subjected to quantized channel feedback and reconstruction; thirdly, training the quantized channel feedback and reconstruction model;secondly, performing two-dimensional inverse DFT on the output reconstructed channel matrix, and recovering a channel matrix reconstruction value of an original space-frequency domain; and finally, applying the trained Quantized-CsiNet model to channel state information feedback in each actual scene, and reconstructing an original channel matrix. According to the method, the quantization module and the inverse quantization module are added into the CsiNet, so that the actually transmissible channel state information bit stream can be obtained, the feedback overhead of large-scale MIMO channelinformation is reduced, the reconstruction precision is improved, and particularly, the method has excellent robustness for quantization errors.

Description

technical field [0001] The invention relates to a quantization and inverse quantization method in massive MIMO channel state information feedback, and belongs to the technical field of communication. Background technique [0002] Massive Multiple-Input Multiple-Output (Massive MIMO) system is widely considered as a main technology of 5G wireless communication system. This system can greatly reduce multi-user interference by configuring hundreds or even thousands of antennas for the base station to form an antenna array, thereby simultaneously serving multiple users on the same time-frequency resource block and providing double-increased cell throughput. . However, the above potential benefits are mainly obtained by exploiting the CSI in the base station. Although Time-Division Duplexing (TDD) technology can obtain CSI from the uplink, it requires a complicated calibration process, while Frequency-Division Duplexing (FDD) technology completely needs to obtain CSI through fe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/06
CPCH04B7/0626H04B7/0658H04B7/0663
Inventor 金石陈彤郭佳佳温朝凯
Owner SOUTHEAST UNIV
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