Pilot frequency allocation method for large-scale MIMO

Abstract

The invention, which belongs to the technical field of communication, particularly relates to a pilot frequency allocation method for large-scale MIMO. The method mainly includes: building a polar coordinate system by taking a base station as a pole; converting the location information of users into polar coordinates of the coordinate system; ranking the users of a cell according to the obtained polar coordinate information; and allocating pilot frequencies to the users according to the ranking result. The invention has the advantages that the likelihood that distances among the users multiplexing the same pilot frequency sequence are excessively short is effectively decreased, thereby achieving the goals that the pilot frequency pollution is reduced and the reachability and speed of the system are enhanced; the sequential allocation of the pilot frequencies can effectively avoid the problem that different users experience relatively discriminating pilot frequency pollution intensities and enhance the fairness of the system; and compared with a method of finding an optimal pilot frequency allocation scheme through enumeration and the like, the invention utilizes the location information of the users, which is relatively easy to acquire, thus avoiding complex analog operation and multi-cell coordination, and has lower complexity.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a pilot allocation method for a massive MIMO system. Background technique [0002] With the rapid development of the mobile Internet, users' demand for high-speed data services is rising rapidly, and the current wireless communication network is under tremendous pressure. In the case of very limited spectrum resources, massive MIMO technology has attracted extensive attention due to its high spectrum efficiency. By configuring a large number of antennas in cell base stations, massive MIMO technology can greatly improve the quality of communication links and significantly reduce the impact of interference such as noise. [0003] In a multi-user MIMO system, the base station needs to obtain accurate channel state information (CSI) to separate the signals of different users. In Time Division Duplex (TDD) mode, uplink training and data transmission are completed w...

AI Technical Summary

Problems solved by technology

This scheme can theoretically minimize pilot pollution, but requires complex base station cooperation and high computational complexity

[0006] The results of the study show that the signal strength will decline rapidly with the increase of transmission distance

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