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Large-scale MIMO low-complexity hybrid precoding method and system

A low-complexity, pre-coding technology, applied in transmission systems, radio transmission systems, diversity/multi-antenna systems, etc., can solve problems such as high cost and complexity, and achieve reduced computational complexity, low complexity, and low complexity Effect

Active Publication Date: 2021-11-12
WUHAN UNIV
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  • Claims
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Problems solved by technology

[0003] Aiming at the above defects or improvement needs of the prior art, the present invention proposes a massive MIMO low-complexity hybrid precoding method and system, aiming at solving the problem of high cost and complexity of the traditional all-digital precoding algorithm, and providing a A fast-converging low-complexity precoding

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Embodiment 1

[0038] Such as figure 1 Shown is a flowchart of a massive MIMO low-complexity hybrid precoding method provided by an embodiment of the present invention. figure 1 The method shown includes the following steps:

[0039] S1: parameter initialization;

[0040] In this embodiment, parameter initialization includes: setting the number of transmitting antennas MN, where N represents the number of sub-arrays, M represents the number of antennas corresponding to each sub-array, the number of user antennas K, and the channel transmission matrix H.

[0041] S2: Use the EPI algorithm to obtain the first N eigenvalues ​​and eigenvectors of the channel transmission matrix;

[0042] In this embodiment, after the parameter initialization setting is completed, the Extend power iteration method (Extend poweriteration, EPI) is used to obtain the first N eigenvalues ​​and eigenvectors of the channel transmission matrix, such as figure 2 As shown, it can be achieved in the following ways:

...

Embodiment 2

[0063] This embodiment provides a massive MIMO low-complexity hybrid precoding system, including:

[0064] The initialization module is used to set the number of transmitting antennas, the number of user antennas and the channel transmission matrix;

[0065] The extended power iteration module is used to obtain the first several eigenvalues ​​and eigenvectors of the channel transmission matrix by using the extended power iteration method;

[0066] In this embodiment, the above-mentioned extended power iteration module includes:

[0067] The power multiplication module is used to obtain the channel transmission matrix H in the ith iteration by using the power multiplication algorithm PI (i) The largest eigenvalue of and its eigenvector;

[0068] The matrix contraction module is used to use the matrix contraction algorithm to transmit the matrix H from the channel transmission matrix of the i-th iteration (i) Remove the channel transmission matrix H in the ith iteration (i) ...

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Abstract

The invention discloses a large-scale MIMO low-complexity hybrid precoding method and system, and belongs to the technical field of wireless communication precoding, and the method comprises the steps: carrying out the initialization of related parameters, and completing the design process of hybrid precoding through an extended power iteration method; and obtaining a pre-coding matrix by using an EPI algorithm, and generating a signal to be sent. The parameter initialization comprises setting the number MN of transmitting antennas, the number K of user antennas and a channel transmission matrix H; first N maximum singular values and feature vectors of the channel matrix are acquired by using an EPI algorithm; a hybrid precoding matrix is obtained by using the feature vector; and finally, a to-be-sent signal is generated by using the hybrid precoding matrix, and the transmission rate and the operation complexity of the hybrid precoding are calculated and compared. Compared with a theoretical value, the method has the advantages of faster convergence, lower complexity and lower cost.

Description

technical field [0001] The invention belongs to the technical field of wireless communication precoding, and more specifically relates to a massive MIMO low-complexity hybrid precoding method and system. Background technique [0002] In massive MIMO systems, precoding technology is used to solve the problem of communication interference between users. According to different models, existing precoding technologies can be classified into digital precoding and analog precoding. Although digital precoding has a good effect of suppressing user interference, the computational complexity and cost are very high. Analog precoding has lower computational complexity, but the transmission performance is far inferior to digital linear precoding, so it is difficult to meet the requirements of communication systems. At the same time, in massive MIMO antenna systems, all-digital precoding requires a huge antenna scale and consumes more radio frequency links, resulting in extremely high de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0456H04B7/06
CPCH04B7/0456H04B7/063H04B7/0634Y02D30/70
Inventor 何怡刚程彤彤黄源何鎏璐王枭张慧隋永波
Owner WUHAN UNIV
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