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A Finite Feedback Quantization Method Based on Codebook Rotation

A quantitative method and limited technology, applied in diversity/multi-antenna systems, space transmit diversity, electrical components, etc., can solve problems such as providing CSI

Active Publication Date: 2021-04-09
NANJING NARI GROUP CORP +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult to provide perfect CSI to the base station, and the UE usually uses a low-rate feedback link to send quantized CSI to the base station

Method used

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  • A Finite Feedback Quantization Method Based on Codebook Rotation
  • A Finite Feedback Quantization Method Based on Codebook Rotation
  • A Finite Feedback Quantization Method Based on Codebook Rotation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Consider a downlink system in a massive MIMO system, the system is a single base station model, the number of antennas at the base station is M (in practice, the number of antennas is usually greater than 100), and the number of randomly distributed users in the cell is K, then the i-th user ( i=1,2,...,K) Received signal y i , as shown in formula (1):

[0042]

[0043] where h i is the channel vector of the i-th user, assuming that the channel is block fading and the fading between blocks is independent, the channel obeys Rayleigh fading and is a flat channel; g i , g j are the precoding vectors of the i-th user and the j-th user, respectively, and where H is the conjugate transpose of the channel, |||| F Indicates the norm of the vector; x i is the sending information vector to the i-th user; n i It is an additive white Gaussian noise with a mean of 0 and a variance of 1.

[0044] Each user end converts the channel information into a quantized codebook of B...

Embodiment 2

[0074] Feedback bit number and computational complexity analysis.

[0075] When user K i When the difference between the channel vector at T=t+1 and the channel vector at the previous moment is less than the maximum channel difference, the first 2d codewords after its rotation are selected as the virtual codebook, and the number of codewords in the codebook is determined by the number of codewords in the original codebook of 2 B reduced to the virtual codebook in:

[0076] B t+1 = log 2 (2d) (8)

[0077] Therefore, compared with the traditional feedback method, the number of feedback bits ΔB is reduced, as shown in formula (9):

[0078] ΔB=B-log 2 (2d) (9)

[0079] In a massive MIMO system, K users perform limited feedback at the same time at the same time, and each user can effectively execute the algorithm at the current time to reduce the number of feedback bits, but there are also cases where the current time does not meet the codebook rotation conditions and cann...

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Abstract

The invention discloses a limited feedback quantization method based on codebook rotation in the field of wireless communication technology, and aims to solve the problem of excessive feedback overhead caused by a large number of feedback bits in a massive MIMO system in the prior art. The method comprises the steps of: obtaining the best codeword at the last moment selected by the user terminal; taking the best codeword at the previous moment as a benchmark, selecting d codewords on the left and right sides thereof to form a virtual codebook at the current moment; The user terminal selects the best codeword in the virtual codebook at the current moment, and feeds it back to the base station.

Description

technical field [0001] The invention relates to a limited feedback quantization method based on codebook rotation, which belongs to the technical field of wireless communication. Background technique [0002] In MIMO (Multiple-Input Multiple-Output, multiple transmit antennas and multiple receive antennas) systems, more data can be transmitted through spatial multiplexing. In order to fully utilize a given MIMO channel, an appropriate beamformer must be generated at the base station side. CSI (Channel State Information, Channel State Information) is needed to build a proper beamformer. Feedback of CSI to base station is an important part of MIMO system because it is crucial for precoding. However, it is difficult to provide perfect CSI to the base station, and the UE usually uses a low-rate feedback link to send quantized CSI to the base station. Therefore, both the base station and the user end should have codebooks for quantizing the required channel state information. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B7/0417H04B7/06
CPCH04B7/0417H04B7/0639
Inventor 史燕平刘叶卞宝银王善祥李文猛韩东升黄鑫李朗
Owner NANJING NARI GROUP CORP
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