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Beamforming optimization method based on eigenvalue decomposition

A technology of eigenvalue decomposition and optimization method, applied in the field of wireless mobile communication and beamforming optimization, can solve the problems of high complexity of beamforming algorithm, high requirement of baseband processor, high computational complexity, etc., to reduce computational complexity degree, reduce data traffic demand, and reduce the effect of data traffic

Active Publication Date: 2020-06-16
HANGZHOU DIANZI UNIV
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  • Application Information

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Problems solved by technology

[0004] 2. The complexity of the beamforming algorithm is also higher, and the requirements for the baseband processor are also getting higher and higher
This method greatly reduces the amount of calculation, and the reduction in performance is not obvious
Nevertheless, beamforming algorithms based on eigenvalue decomposition still have high computational complexity

Method used

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  • Beamforming optimization method based on eigenvalue decomposition
  • Beamforming optimization method based on eigenvalue decomposition
  • Beamforming optimization method based on eigenvalue decomposition

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Embodiment Construction

[0038] In this algorithm, a 64-element antenna is taken as an example for description. But the algorithm is equally applicable to any other array antenna. The expression method of the array antenna in 3GPP is M×N×P. Here M is the number of rows of the array, N is the number of columns of the array, and P is the number of polarization directions of the array. For 64-element antennas, a typical array arrangement is M×N×P=4×8×2, that is, 4 rows and 8 columns with dual polarization. Schematic such as figure 1 As shown; where the right slash represents the +45° polarized antenna element, and the left slash represents the -45° polarized antenna element.

[0039] Such as figure 2 As shown, the beamforming processing flow based on eigenvalue decomposition is as follows:

[0040] The specific description of the beamforming process based on eigenvalue decomposition is as follows:

[0041] 1. The user terminal sends a reference signal, which is defined by 3GPP as SRS (sounding ref...

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Abstract

The invention discloses a beamforming optimization method based on eigenvalue decomposition. According to the invention, a reference signal pre-merging module is added to a radio frequency processingunit, so that the data traffic of the baseband processing unit and the radio frequency processing unit is greatly reduced, and the calculation complexity is greatly reduced. Besides, the beamforming algorithm based on eigenvalue decomposition reduces the requirement for hardware, does not reduce the gain of beamforming, and is a feasible scheme.

Description

technical field [0001] The invention belongs to the technical field of wireless mobile communication, relates to the technical field of beamforming optimization, in particular to a method for beamforming optimization of base station transmission signals. Background technique [0002] Beamforming algorithm is a key technology in the field of mobile communication. It is an effective method for improving spectral efficiency and coverage in recent years. In order to implement beamforming, multiple transmitting and receiving antenna elements are required on the base station side. The more antenna elements, the greater the beamforming gain. In the early days of TD-LTE, the base station generally used 8 antennas, but now it has been upgraded to 64 antennas. As the number of beams continues to increase, the effect of beamforming has been significantly improved. However, the price of this performance improvement is that there are higher requirements for the hardware system of the...

Claims

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Application Information

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IPC IPC(8): H04B7/06
CPCH04B7/0617Y02D30/70
Inventor 祁永敏
Owner HANGZHOU DIANZI UNIV