Precoding design method of maximized minimum signal to noise ratio in large-scale MIMO (multiple input multiple output) system

A design method, large-scale technology, applied in the field of communication

Active Publication Date: 2015-05-13
ZHENGZHOU UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a precoding design method for maximizing the minimum signal-to-noise ratio in a massive MIMO system, and perform precoding design and inter-port power for different distributed radio frequency ports in a cell covered by the same base station. assigned to solve the problems of existing technology

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  • Precoding design method of maximized minimum signal to noise ratio in large-scale MIMO (multiple input multiple output) system
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  • Precoding design method of maximized minimum signal to noise ratio in large-scale MIMO (multiple input multiple output) system

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[0040] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] Under the premise of lower system overhead, the system performance can be effectively improved, and it is beneficial to the application in practical systems. A precoding method based on channel statistics information is proposed. see figure 1 with figure 2 , the present invention provides a precoding design method for maximizing the minimum signal-to-noise ratio in a massive MIMO system, comprising the following steps:

[0042] S1: The base station obtains the composite channel information of all distributed antenna ports through channel estimation, including small-scale fading H=ZR T , the emission correlation matrix R T , large-scale fading Ξ.

[0043] For a single-cell distributed MIMO system, the number of antennas at the base station is N, K ports with different distances in the cell are equipped with M antennas, and ...

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Abstract

The invention relates to a precoding design method of a maximized minimum signal to noise ratio in a large-scale MIMO (multiple input multiple output) system. At first, according to an instant receiving signal to noise ratio of a sub-channel in every radio frequency port of a ZF (zero frequency) receiver used by a base station terminal in an uplink, a mean receiving signal to noise ratio is obtained by using a multivariate statistics method; the sub-channel is optimized on the basis of the maximized minimum mean receiving signal to noise ratio rule; according to the independence of distribution type MIMO ports, the optimization of the mean receiving signal to noise ratio is decomposed to be a precoding matrix design under the limit of independent power in ports and the total power restraint power distribution optimization design between ports; finally, the optimal precoding matrix is obtained. The precoding design method of the maximized minimum signal to noise ratio in the large-scale MIMO obtains the optimal porecoding matrix by bysing the statistical information of a channel only, and has low system feedback cost; meanwhile, in comparison to the traditional power distribution method, the method can obviously improve the mean symbol error rate performance of a system, and thereby promoting the feasibility of the method in actual application.

Description

technical field [0001] The present invention relates to a precoding design method in the field of communication technology, in particular to a precoding design method for maximizing the minimum signal-to-noise ratio in a massive MIMO (Massive Multiple Input Multiple Output, Massive M-MIMO) system. Background technique [0002] Massive MIMO technology has been adopted by the fifth-generation mobile communication as one of its core key technologies, which can greatly reduce power, improve system performance and coverage. In massive distributed MIMO systems, due to its open structure and more Flexible resource allocation features, so it plays an important role in mobile communications. In recent years, communication systems require high-speed data transmission rates, so that much research work has been carried out in the field of this system. The characteristic of the distributed MIMO system is that the radio frequency ports configured with multiple antennas are distributed in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/04H04B7/06
CPCH04B7/0456H04L25/0242Y02D30/70
Inventor 高向川张建康王忠勇靳进王树坤
Owner ZHENGZHOU UNIV
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