hybrid beamforming algorithm and system suitable for 5G multi-user large-scale MIMO

Abstract

The invention discloses a hybrid beamforming algorithm and system suitable for 5G multi-user large-scale MIMO, and the algorithm and system carry out the multi-user beamforming based on the minimum criterion of a user leakage signal and in combination with a codebook, and can eliminate the same-channel interference among users. A base station selects an appropriate vector from a user codebook through control channel broadcasting, and a user recovers a codeword vector by using the codebook after receiving the appropriate vector and takes the codeword vector as a weight of beam forming. Other users can also eliminate interference through a minimum mean square error algorithm by utilizing other received beam vectors. The algorithm is improved, the precoding matrix is quantified through the codebook, the base station can obtain the precoding matrix only by feeding back the codebook number through the user side, the information feedback amount is greatly reduced, the algorithm complexity isreduced, the system throughput is improved to some extent on the premise that extra resources are not increased, and equipment implementation is simplified.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an algorithm and system suitable for 5G multi-user massive MIMO hybrid beamforming. Background technique [0002] Millimeter wave has become one of the key technologies of 5G wireless communication because of its rich spectrum resources and high transmission rate. Although millimeter waves are easily absorbed by the air and have disadvantages such as path loss, rain loss, and penetration attenuation, the increase in the number of millimeter wave antennas per unit area and the reduction in antenna size make it a perfect combination with 5G massive MIMO technology. The combination of the two forms the beamforming technology, which can improve the transmission quality of the signal and improve the channel capacity of the system. [0003] Theoretically speaking, the pure digital beamforming technology is the beamforming technology with the highest benefit, but in the ...

AI Technical Summary

Problems solved by technology

[0005] The traditional multi-user MIMO system allows many users to enjoy the same time and frequency resources at the same time, but it will also bring about co-channel interference between different users

The zero-forcing algorithm can weight different users separately at the sending end, and then superimpose and send different user signals, but there is a condition in this system, that is, the number of sending antennas needs to be greater than the receiving antennas, otherwise the performance of the algorithm is low, so the number of users will be affected. limit

The block diagonalization algorithm needs to process each channel matrix to obtain the optimal pure digital beamforming matrix for each user, and then use the orthogonal matching pursuit algorithm to obtain the multi-user beamforming matrix, and the algorithm complexity is relatively high

The idea of ​​the traditional interference cancellation technology with minimum user signal leakage is that when the user performs beamforming, the beam signal of the target user is larger than that of other users. Although this algorithm has no limit on the number of receiving and transmitting antennas, the system throughput is average.

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