An Equal Power User Scheduling Method Based on Grmes Iteration

Abstract

The invention discloses a method for equal-power user scheduling based on GRMES iteration, which is applied to a large-scale MIMO system that uses MMSE precoding to realize user signal enhancement and interference cancellation functions. The method first sets the channel of the user in the large-scale MIMO system characteristic H, and based on the channel characteristic H, use the GMRES iterative algorithm to calculate the coding matrix W of the MMSE precoding method; then set the user's expected rate R for power transmission in the massive MIMO system E , combined with the desired rate R E Calculate the minimum power covariance matrix P required by each user with the channel characteristics H; sort the minimum power covariance matrix P of each user from large to small to obtain a set P′, set the number of user groups G, and press the minimum variance The standard puts preset users in each user group number G in turn; adjusts the number of user groups G placed in preset users according to the constraints of SIC superposition coding, and obtains the lowest grouping power variance. Corrects the coding matrix based on the constraints W; the present invention can ensure that the total power of each group of users in the massive MIMO system is equal.

Description

technical field [0001] The invention belongs to the technical field of user power scheduling, is applied to a large-scale MIMO (Multiple-Input Multiple-Output, multiple-input multiple-output system) system, and particularly relates to an equal power based on GRMES (Generalized minimum residual error method, generalized minimum residual error) iteration User scheduling algorithm. Background technique [0002] Massive MIMO is recognized as one of the key technologies of 5G mobile communications, which can meet the requirements of high system capacity, high energy efficiency and high user experience throughput. Under the same time-frequency resources, massive MIMO uses a large number of antennas equipped at the base station transmitter to eliminate interference and schedule more users with high spatial freedom to improve system performance. As one of the key technologies in massive MIMO, precoding technology is an important way to further improve system performance and reduce ...

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to provide a method for equal-power user scheduling based on GRMES iteration, which is simple and effective, low power consumption and convenient for detection at the receiving end of a massive MIMO system, so as to solve the problem of complicated calculations and power consumption in traditional scheduling methods. To solve the problems of high power consumption and slow system processing speed, the specific technical solutions are as follows:

Images