Large-scale mimo beam domain robust precoding transmission method and system

Abstract

The invention discloses a large-scale MIMO beam domain robust precoding transmission method and system. This method is based on the base station side and user side refined sampling steering vector matrix, and considers the influence of channel aging caused by mobility. The obtained channel state information is refined beam domain posterior statistical channel information including channel mean and variance information. In the present invention, the base station uses the refined beam domain a posteriori statistical channel information to perform robust precoding transmission, and the channel model on which the refined beam domain a posteriori statistical channel information depends is based on the adoption guidance corresponding to the refined sampling space angle. The channel model of the vector matrix, the statistical channel information used is more sufficient and accurate, can solve the problem of the universality of massive MIMO to various typical mobile scenarios under the limitation of antenna size, and achieve high spectral efficiency, the proposed robust precoding The design utilizes the sparsity of the beam domain channel and the structural characteristics of the sampled steering vector matrix, which can greatly reduce the computational complexity.

Description

technical field [0001] The invention belongs to the technical field of communications, and relates to a large-scale MIMO beam domain robust precoding transmission method and system. Background technique [0002] In order to improve user experience and cope with the challenges brought about by the rapid growth of wireless data service demands and new service demands, the next-generation mobile network in the future needs to support higher quality, higher transmission rate, higher mobility, higher user density, and lower Latency, lower energy consumption and other scenarios. In recent years, in order to greatly improve the spectrum efficiency and power efficiency of wireless spectrum, Massive Multiple-Input Multiple-Output (MIMO, Multiple-Input Multiple-Ouput) technology has been extensively studied. At present, massive MIMO has been confirmed as one of the key technologies of 5G. Massive MIMO greatly improves system capacity by equipping base stations (BS, BaseStation) with...

AI Technical Summary

Problems solved by technology

Although the nonlinear precoding method can achieve optimal performance, its extremely high complexity limits its use in massive MIMO systems, and the simple and typical linear regularized zero-forcing (RZF, Regularized Zero Forcing) precoding method, The requirements for instantaneous channel accuracy are high, and it cannot be applied to scenarios where channel information is not ideal, such as pilot resource constraints and medium-to-high-speed mobile communication scenarios.

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