METHOD AND SYSTEM FOR ACQUIRING LARGE-SCALE MIMO BEAM DOMAIN STATISTICAL CHANNEL INFORMATION

摘要

Disclosed are a method and system for acquiring large-scale MIMO beam domain statistical channel information. A refined beam domain channel model involved in the disclosed method is based on a refined sampling steering vector matrix. Compared with a traditional DFT matrix-based beam domain channel model, when antenna size is limited, said model is closer to a physical channel model, and provides a model basis for solving the problem of the universality of large-scale MIMO for various typical mobile scenarios under a constraint on antenna size. The present invention provides a method for acquiring large-scale MIMO refined beam domain priori statistical channel information and posteriori statistical channel information, the posteriori statistical channel information comprising mean and variance information of the posteriori channel. The method of the present invention has low complexity, can be applied to an actual large-scale MIMO system, provides support for a robust precoding transmission method, and has large application value.