Precoding matrix processing method and communication device

Abstract

The invention provides a precoding matrix processing method and a communication device. The method comprises the following steps: enabling the terminal equipment to determine a codebook coefficient of a precoding matrix; and grouping the ports corresponding to the precoding matrix to obtain a plurality of port groups. By grouping the ports, the ports with large energy difference are divided into different port groups. The terminal equipment can perform gain adjustment on the codebook coefficients corresponding to the plurality of port groups by adopting different gain adjustment coefficients, and performs quantization processing on the codebook coefficients after gain adjustment; or, the terminal equipment can perform quantization processing on the codebook coefficients corresponding to the plurality of port groups, so that the network equipment can determine the precoding matrix according to the quantized codebook coefficients. Therefore, feedback precision reduction caused by loss of codebook coefficients of part of ports with small energy can be avoided. Therefore, higher feedback precision can be obtained, and the transmission performance of the system can be improved.

Description

technical field [0001] The present application relates to the communication field, and more specifically, to a precoding matrix processing method and a communication device. Background technique [0002] In a massive multiple-input multiple output (Massive MIMO) technology, a network device can reduce interference between multiple terminal devices and interference between multiple signal streams of the same terminal device through a precoding technology. Thereby improving signal quality, realizing space division multiplexing, and improving spectrum utilization. [0003] The terminal device can determine a precoding matrix suitable for the downlink channel through channel measurement, etc., and hopes that the network device can obtain a precoding matrix that is the same as or similar to the precoding vector determined by the terminal device through feedback. In order to reduce the reporting overhead, the terminal device usually compresses the determined precoding matrix, and...

AI Technical Summary

Problems solved by technology

[0004] However, in order to ensure the compression efficiency, the feedback accuracy of the channel may have a certain loss

The loss of feedback accuracy may cause the network equipment to determine the precoding matrix inaccurately, which cannot be well adapted to the downlink channel

Therefore, the transmission performance of the system suffers

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