Disturbance estimation method and device

Abstract

The invention provides a disturbance estimation method and device in an embodiment. The disturbance estimation method comprises the following steps: performing BF mode blind detection on neighboring cells of a serving cell based on DMRS; if the BF mode is determined in the blind detection, constructing a BF mode disturbance contribution matrix of each neighboring cell based on DMRS channel estimation; if the non-BF mode is determined in the blind detection, constructing a non-BF mode disturbance contribution matrix of each neighboring cell based on CRS channel estimation; iterating the non-BF mode disturbance contribution matrixes of a plurality of cells to refresh and estimate a power factor and a pre-coding matrix parameter pair, selecting the preferred parameter pairs of the various neighboring cells to form a small set for joint estimation, and obtaining a disturbance estimation matrix by weighing and averaging the constructed non-BF mode disturbance contribution matrixes based on the parameters finally preferred together; and finally, obtaining disturbance estimation on the data position of the serving cell according to the BF / non-BF mode disturbance contribution matrixes of the various neighboring cells. The disturbance estimation method is suitable for the serving cells in the non-BF mode, and capable of realizing accurate estimation on the data position disturbance of the serving cells.

Description

technical field [0001] Embodiments of the present invention relate to communication technologies, and in particular to an interference estimation method and device. Background technique [0002] In a wireless cellular system, in order to obtain a higher spectrum utilization rate, a mode with a reuse factor of 1 is usually used for spectrum multiplexing networking, that is, each cell can reuse all available spectrum resources of the system. The resulting co-channel and co-channel interference between multiple cells has become a key factor restricting the further improvement of system capacity. In order to improve system capacity, Long Term Evolution Advanced (LTE-Advanced for short) introduces a heterogeneous network (Heterogeneous Network, Het-net for short). The heterogeneous network is to add some Low Power Node (LPN) cells to the traditional macro cell coverage. These LPN cells have a small coverage radius and reuse the spectrum resources of the macro cell system, so tha...

AI Technical Summary

Problems solved by technology

However, in the CRS collision scenario of interfering adjacent cells, the interference on the CRS may be inconsistent with the actual interference on the data. At this time, the interference covariance matrix estimated by the above method is different from the actual interference covariance matrix, that is, the interference covariance The estimation of the matrix is ​​inaccurate, which leads to poor IRC performance

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