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Method, system and device for selecting precoding vector and mobile terminal

A precoding vector and vector technology, applied in the field of mobile terminals and devices for selecting precoding vectors, can solve problems such as affecting system throughput and increasing the number of bits of channel matrix quantization information, so as to improve system throughput and reduce the number of bits. Effect

Active Publication Date: 2010-07-07
HUAWEI TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The inventors have found that there are at least the following problems in the prior art: the size of the channel matrix will increase with the increase of the number of antennas at the receiving end, and the increase of the channel matrix will lead to an increase in the number of quantized information bits of the channel matrix. As the number of antennas at the receiving end increases, the number of bits of quantized information fed back from the receiving end to the sending end will also increase, which affects the throughput of the system.

Method used

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  • Method, system and device for selecting precoding vector and mobile terminal

Examples

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Effect test

Embodiment 1

[0043] Embodiment 1. The flow of the method for selecting a precoding vector is shown in the attached figure 1 shown.

[0044] figure 1 In step 100, the receiver quantizes the channel correlation matrix according to its stored vector quantization codebook.

[0045] The vector quantization codebook stored in the receiving end is the vector quantization codebook for the channel correlation matrix. The vector quantization codebook stored in the receiving end may be the vector quantization codebook sent from the transmitting end, that is, the vector quantization codebook stored in the receiving end may be constructed by the transmitting end.

[0046] Since the vector quantization codebook for the channel correlation matrix can be constructed in many different ways, the process of quantizing the channel correlation matrix at the receiving end by using the vector quantization codebook can also be in multiple ways. Different codebook construction methods and different quantization...

Embodiment 2

[0071] Embodiment 2. The flow of the method for selecting a precoding vector is as attached figure 2 shown.

[0072] figure 2 In step 200, the channel correlation matrix is ​​split into two parts, ie a diagonal element part and a non-diagonal element part (upper triangle). The non-diagonal element part can be split into three parts. Set the normalized channel correlation matrix as attached image 3 shown. image 3 The channel correlation matrix in is that the number of transmitting antennas at the transmitting end is 4 (that is, N t = 4) the normalized channel correlation matrix Γ k , this embodiment can first Γ k Divide into a diagonal element section and an off-diagonal element section. Since the number of elements contained in the diagonal element part is small and is a real number (including 4 elements, a11, a22, a33 and a44), the diagonal element part can no longer be divided, that is, the diagonal element part can be constructed Vector quantization codebook. ...

Embodiment 3

[0087] Embodiment three, based on Figure 4 In the multi-user MIMO system shown, an implementation method of selecting a precoding vector is shown.

[0088] Figure 4 The base station (that is, the transmitting end) in has N t transmit antennas, and the k-th receiver (i.e. user terminal) has N r，k receiving antennas, and the information sent by the base station to the user terminal passes through the precoding device T 1 ,T 2 ,...,T K Perform precoding processing.

[0089] First, both the base station and the user terminal acquire and store the vector quantization codebook. The vector quantization codebook may be a vector quantization codebook generated based on the Lloyd algorithm, and of course, may also be a vector quantization codebook generated based on other algorithms.

[0090] Secondly, the user terminal k obtains the channel matrix H through channel estimation k , and then use the channel matrix H k Obtain the normalized channel correlation matrix

[0091]...

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Abstract

The invention discloses a method, a system and a device for selecting a precoding vector and a mobile terminal. The method for selecting the precoding vector comprises that: a receiving end performs quantization treatment on a channel correlation matrix according to the stored vector quantization codebook aiming at the channel correlation matrix; the receiving end feeds back the information of the channel correlation matrix subjected to the quantization treatment to a transmitting end; and the transmitting end acquires the channel correlation matrix according to the stored vector quantization codebook aiming at the channel correlation matrix and the received information subjected to the quantization treatment, and selects the precoding vector according to the acquired channel correlation matrix. Due to the technical scheme, the amount of the quantization information fed back by the receiving end is reduced, and the amount of the quantization information fed back by the receiving end is not increased along the increase of the antenna amount of the receiving end.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a method for selecting a precoding vector, a system for selecting a precoding vector, a device for selecting a precoding vector and a mobile terminal. Background technique [0002] In a multi-user Multi-Input-Multi-Output (MIMO) system, the transmitting end needs to use the channel matrix quantization information fed back by the receiving end to perform precoding. [0003] At present, the CSI (channel state information) feedback method of multi-user MIMO precoding mainly adopts codebook quantization, and the specific implementation process includes: first constructing a codebook (that is, a vector quantization codebook) for the channel matrix using a quantization algorithm, for example, using Random Vector Quantization (Random Vector Quantization, RVQ) algorithm, Grassmanian Line Packing (Grassmanian Filling Set, GLP) algorithm or LBG (Linde-Buzo-Gray) algorithm to ...

Claims

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Application Information

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IPC IPC(8): H04B7/04H04B7/06H04B7/08
Inventor 李斌罗毅沈晖袁超伟程铁铮解芳刘鸣
Owner HUAWEI TECH CO LTD
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