Multi-user MIMO test method between base stations

Abstract

The invention discloses a multi-user MIMO test method between base stations, comprising: for any user in a district where each base station is located, a same-frequency user occupying same time-frequency resource with the user in the current district and the adjacent district are determined; the identification information of the same-frequency user is shared between the base station of the user and the base station of the district where the same-frequency user of the user is located; the identification information is used by the district base station to estimate the channel character of the same-frequency user of other district in the base station; each station combines the users in the district with the same-frequency user thereof to be tested so as to obtain the test results of the user and the same-frequency user thereof. If applied, the invention can realize multi-user MIMO combined testing for a plurality of districts, which can effectively inhibit same-frequency interference and improve system performance.

Description

technical field [0001] The invention relates to the technique of multiple-input multiple-output (MIMO) signal detection, in particular to a multi-user MIMO detection method between base stations. Background technique [0002] For MIMO communication systems, the optimal detection method in the sense of the smallest joint error probability is the maximum likelihood (ML) method or the maximum a posteriori probability (MAP) method, but the complexity of these two detection methods is very high. high, it is difficult to apply in practical systems. However, the requirements of practical applications make the research of MIMO detection algorithms mainly focus on finding low-complexity high-performance detectors. [0003] At present, low-complexity and high-performance detection methods mainly include: linear zero-forcing (ZF) algorithm, ZF-OSIC algorithm combined with Ordered Successive Interference Cancellation (OSIC, Ordered Successive Interference Cancellation), linear minimum ...

AI Technical Summary

Problems solved by technology

[0008] In a multi-user MIMO system, if the above-mentioned detection method under single-user MIMO is directly applied for signal detection, then for the user to be detected, only the users with the same frequency as the user in other adjacent cells outside the cell where the user is located Other users act as interference and conduct independent signal detection for the user itself. In this way, the signal information of other users with the same frequency cannot be reasonably used during the detection process, making the final detection result inaccurate.

Images