Interference elimination method based on effective channel parameter semi-orthogonal

Abstract

The invention discloses an interference elimination method based on effective channel parameter semi-orthogonal, comprising the steps of: calculating an effective receiving channel parameter of a user side and regarding the parameter as the basis for the selection of a semi-orthogonal user by a base station according to effective channels and cross channel parameters fed back by a user. After selecting the semi-orthogonal user of the effective receiving channel parameter by the base station, double-layer pre-coding vector design is carried out by the base station so as to eliminate the interference among cells and in the cells. Through the interference elimination method based on effective channel parameter semi-orthogonal, the average user capacity can be improved and the computation time complexity for the selection of the semi-orthogonal user is greatly reduced.

Description

technical field [0001] The present invention relates to inter-cell and intra-cell interference alignment technology, more specifically, the present invention relates to an interference elimination method based on effective channel parameter semi-orthogonality. Background technique [0002] A multiple input multiple output (Multiple Input Multiple Output, MIMO for short) technology is a typical full-frequency multiplexing technology that can obtain diversity multiplexing gain. However, when MIMO technology is used in a full-frequency multiplexing environment, the same-frequency interference from adjacent cells and the interference from multiple users in the cell will seriously affect the receiving signal-to-noise ratio of the desired user, resulting in the transmission rate of the communication system and the quality of the service. The quality has dropped drastically. Usually, when the MIMO cooperation mode is adopted, the most commonly used interference suppression technol...

AI Technical Summary

Problems solved by technology

[0004] 1. Interference randomization only whitens the interference, and does not really reduce the interference signal of the system, and the improvement of the signal-to-noise ratio is limited;

[0005] 2. At present, the existing interference cancellation technology has high complexity and strict application conditions, and can only eliminate some strong interference sources. In actual systems, interference is mainly produced by the superposition of many small interferences. Therefore, this technology is practical Limited effect in application;

[0006] 3. The inter-cell interference coordination technology can be divided into static coordination, semi-static coordination and full dynamic coordination. These three interference coordination methods still have certain limitations, such as low spectrum efficiency or high signaling overhead;

If the channel correlation of randomly selected users is relatively large, the ZFBF algorithm cannot obtain a beam with a suitable angle, and the interference between users cannot be well eliminated.

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