Information processing method in MU-MIMO (Multiple User Multiple-Input Multiple-Output) system, terminal and base station

Abstract

The invention discloses an information processing method in an MU-MIMO (Multiple User Multiple-Input Multiple-Output) system, a terminal and a base station and is used for enhancing accuracy of feedback information of the terminal and improving information transmission performance of the system. The information processing method in the MU-MIMO system provided by the embodiment of the invention comprises the steps that the terminal calculates a channel direction index CDI of the terminal according to the number of the terminals scheduled by the base station in the MU-MIMO system, and the current receiving channel quality of the terminal, and obtains a signal to interference plus noise ratio SINR of multiple subcarriers corresponding to the CDI; the terminal calculates a channel quality indicator CQI of the terminal according to the SINR of multiple subcarriers and the terminal maps the SINR of the multiple subcarriers into an equivalent SINR; and the terminal sends feedback information to the base station, wherein the feedback information comprises the equivalent SINR, the CQI of the terminal and the CDI of the terminal.

Description

technical field [0001] The present invention relates to the field of communication technologies, and in particular to an information processing method, terminal and base station in an MU-MIMO system. Background technique [0002] With the rapid development of wireless communication technology, the data throughput capability supported by the communication system has also increased sharply, and the application requirements have continued to increase, which puts forward new and more stringent requirements for wireless communication technology. Under such a development trend, multiple-input multiple-output (English full name: Multiple-Input Multiple-Output, English abbreviation: MIMO) technology using multiple antennas at the transmitting end and receiving end is recognized as the key technology of the next generation wireless communication system, MIMO The technology has the advantages of channel capacity, diversity gain, and interference suppression. It can use the spatial deg...

AI Technical Summary

Problems solved by technology

When calculating MMSE, since the user does not know the number and intensity of interference, the user assumes that the base station is precoded as a unitary matrix, thereby designing a MMSE-like receiver. When the actual number of antennas at the base station is greater than the number of antennas at the receiving end, it is assumed that all interference The user located in the codebook of the user will generate redundant interference, so the designed MMSE-like receiver considers too much interference, so this type of MMSE receiver will generate unnecessary errors, and the performance of the receiver design under the QMW algorithm will be The reduction further leads to the reduction of the accuracy of the feedback information, and the feedback design in the QMW algorithm is difficult to realize in the multi-carrier system

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