User choosing method, device and system

Abstract

The embodiment of the invention discloses a user choosing method, a device and a system. The method comprise the following steps: codebooks grouped by the orthogonality principle are respectively stored at a base station side and a user terminal side; the user terminal estimates a channel, chooses a codebook according to channel estimating information, and feeds back the channel estimating information and chosen codebook information to the base station; the base station groups the user terminal according to the codebook grouping situation and feedback codebook information of the user terminal; a user group is chosen according to the feedback channel estimating information of the user terminal; a user is chosen from the chosen user group according to the channel estimating information of each user in the user group. The base station comprises a storing module, a user grouping module, a user group choosing module and a user choosing module. The system comprises a user terminal and a base station. Under the condition of ensuring system performance, the invention can lower the complexity in user choosing.

Description

technical field [0001] The present invention relates to the technical field of multiple-input multiple-output (MIMO) precoding in the field of mobile communication, in particular to a user selection method, device and system. Background technique [0002] At present, in the MIMO system, methods for user selection are mainly divided into two categories. Method 1 is mainly used in time-division duplex (TDD) systems. The base station completely knows the channel state information of all users according to the reciprocity of uplink and downlink channels, and then polls all users, and selects users according to established criteria; method The second is mainly used in the frequency division duplex (FDD) system. The base station does not estimate the channel, but only selects the user through the feedback information of the user end. This is a single user rate control (Per User Unitary Rate Control, PU2RC) method. [0003] The above two methods are described in detail below. ...

AI Technical Summary

Problems solved by technology

[0029] It can be seen from the above technical solutions that method 1 utilizes the reciprocity of the uplink and downlink channels to obtain complete channel state information, which can achieve optimal system performance. In this case, the complexity of the algorithm is very high, and it is difficult to apply it in the actual system

The second method uses the orthogonality of the codebook to classify the users, and selects the users according to the CQI value fed back by the users, which reduces the complexity of the user selection algorithm. There is a large error in the description of the state, thus greatly reducing the performance of the system

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