Methods for constructing precoding matrix array and feeding back index value and related communication equipment

Abstract

The invention provides methods for constructing a three-dimensional multi-input multi-output (MIMO) precoding matrix array and feeding back an index value of the three-dimensional multi-input multi-output precoding matrix array, and related communication equipment. The method for constructing the three-dimensional multi-input multi-output precoding matrix array comprises constructing a first component matrix in a block diagonal matrix form, constructing a second component matrix comprising a phase positionweighting factor as a matrix element, and constructing the precoding matrix according to the constructed first component matrix and the constructed second component matrix, wherein a diagonal sub-matrix of the first component matrix is a three-dimensional beam forming sub-precoder of a two-dimensional array antenna, and the phase position weighting factor characterizes the coherent combination of a signal of the two-dimensional array antenna. The method for feeding back the index value of the three-dimensional multi-input multi-output precoding matrix array comprises estimating a multi-input multi-output channel, and selecting and feeding back a first index value, a second index value and a third index value according to the estimated result of the channel.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, and more specifically, to a method for constructing a three-dimensional multiple-input multiple-output (MIMO) precoding matrix, a method for feeding back index values ​​of the three-dimensional MIMO precoding matrix, and related communication equipment. Background technique [0002] The modern wireless mobile communication system presents two notable features. One is high broadband speed. For example, the bandwidth of the fourth-generation wireless mobile communication system can reach 100MHz, and the downlink rate can reach as high as 1Gbps; , online navigation and other emerging businesses. These two characteristics put forward higher requirements for wireless mobile communication technology, mainly including: ultra-high-speed wireless transmission, inter-regional interference suppression, reliable signal transmission during movement, distributed / centralized signal proces...

AI Technical Summary

Problems solved by technology

Second, in the future, most mobile data communications will take place indoors and in hotspot areas of cells, which also poses challenges to the coverage of wireless mobile communication systems

Since the one-dimensional antenna array can only resolve the azimuth angle but not the elevation angle, one less spatial dimension is considered, and the scheme in Reference 2 is only applicable to a specific propagation environment that can be modeled as a two-dimensional channel model, not for the standard The general propagation environment is modeled as a three-dimensional channel model

For such as figure 2 The shown two-dimensional antenna array utilizes both azimuth and elevation angles, which means that the scheme in Reference 2 is only suitable for the special case where the cell radius is so large that most users have extremely small elevation angles that can be approximately ignored situation

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