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Multi-level feedback method of channel information and system thereof

A technology for channel information and channel indication, applied in transmission systems, digital transmission systems, wireless communications, etc., can solve problems such as large feedback overhead and ineffectiveness in non-correlated scenarios, achieve control feedback overhead, reduce computational complexity, and improve quantization The effect of precision

Active Publication Date: 2015-06-03
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0026] However, this method can only solve the problem of quantization accuracy in scenarios with certain correlations, and has no effect on non-correlated scenarios. Non-correlated channel scenarios are often hot spots such as urban microcells.
In addition, the feedback of the channel correlation matrix also requires a large feedback overhead.

Method used

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  • Multi-level feedback method of channel information and system thereof
  • Multi-level feedback method of channel information and system thereof
  • Multi-level feedback method of channel information and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0099] In this embodiment, the multi-level channel information feedback method provided by the present invention includes:

[0100] Step 110, determine the Rank of the channel, and select the corresponding codeword A from the codebook corresponding to the Rank value i , as level 1 feedback.

[0101] Among them, the first-level codebook uses the LTE codebook in Table 2, or the first-level codebook uses the LTE codebook after the channel correlation matrix rotation in the prior art, and the quantization and feedback methods are the same as those in SU-MIMO mode in LTE The feedback method is the same.

[0102] Among them, according to the feature vector information EigenVector, an appropriate codeword A can be selected from the first-level codebook A according to the principles of maximum chord distance, maximum throughput or SINR maximum i As the first level of quantization of feature vectors.

[0103] Step 120, the second-level feedback is codeword B in another codebook B j...

Embodiment 2

[0111] Step 210, determine the Rank of the channel, and select the corresponding codeword A from the codebook corresponding to the Rank value i . As level 1 feedback.

[0112] The first-level quantization A of the eigenvector can be found from the first-level codebook A according to the eigenvector information EigenVector of the channel matrix i .

[0113] Except for the codebook difference, the quantization method and feedback method are the same as the feedback method in SU-MIMO mode in LTE.

[0114] The first-level codebook uses the LTE codebook in Table 2, or the first-level codebook uses the LTE codebook after the channel correlation matrix rotation in the prior art, that is, using The new codebook is obtained by multiplying the LTE codebook on the left, and R is the channel correlation matrix.

[0115] Step 220, the second-level feedback is the codeword B in another codebook B j PMI information. UE chooses B j Feedback B in the form of PMI j , the definition of ...

Embodiment 3

[0121] Step 310, determine the Rank of the channel, and select the corresponding codeword A from the codebook corresponding to the Ranki , as level 1 feedback.

[0122] For example, according to the feature vector information EigenVector, find the first-level quantization A of the feature vector from the first-level codebook A i .

[0123] The first-level codebook uses the LTE codebook in Table 2, or the first-level codebook uses the LTE codebook after the channel correlation matrix rotation in the prior art, and the quantization and feedback method is the same as the feedback method in SU-MIMO mode in LTE same.

[0124] Step 320, according to A i Some information can be found in A i The codewords distributed around constitute the codebook B, and then find the feature vector EigenVector in B to more accurately represent the codeword.

[0125] The method is implemented through a baseline codebook C base and an A i jointly constructed. For example, construct some uniforml...

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Abstract

A method for multi-level feedback of channel information is provided in the present invention. The method includes: the receiver feeds back at least two-level channel indication information to the transmitter, and the transmitter acquires the channel information according to the channel indication information fed back by the receiver. A system for multi-level feedback of channel information is also provided in the present invention. By feeding back multi-level channel information, the present invention can improve the feedback precision of the channel information and reduce the calculation complexity.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a method and system for multi-level feedback of channel information. Background technique [0002] In wireless communication, if both the transmitting end and the receiving end use multiple antennas, spatial multiplexing can be used to obtain a higher rate. Compared with the general spatial multiplexing method, an enhanced technology is that the receiving end feeds back channel information to the sending end, and the sending end uses some transmit precoding techniques according to the obtained channel information to greatly improve the transmission performance. A simple implementation method is to directly use channel feature vector information for precoding, which is mainly used in single-user MIMO (Multiple Input Multiple Output). There are also other better but more complex methods, mainly used in multi-user MIMO, but all require more accurate channel information. [00...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L1/16H04L1/00H04W28/04
CPCH04L1/0026H04L1/0028H04L5/0023
Inventor 陈艺戬李儒岳张峻峰李书鹏徐俊
Owner ZTE CORP
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