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Optimal regular pre-coding method in low-precision quantitative large-scale MIMO

A large-scale, low-precision technology, applied in radio transmission systems, electrical components, transmission systems, etc., can solve problems such as channel capacity attenuation, achieve the effects of reducing hardware and power consumption costs, simple formulas, and stable performance

Active Publication Date: 2018-05-22
SOUTHEAST UNIV
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Problems solved by technology

It has been proved in the literature that the MIMO system with adjacent antenna spacing of 4 times the wavelength has a 20% attenuation in channel capacity compared with a system without correlation

Method used

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  • Optimal regular pre-coding method in low-precision quantitative large-scale MIMO

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Embodiment 1

[0031] Embodiment 1: a method for optimal regular precoding in a large-scale multiple-input multiple-output system (MIMO) with low precision quantization, said method comprising the following steps:

[0032] (1) In a massive MIMO system, the base station is configured with N transmit antennas, and each antenna is configured with a low-precision quantized digital-to-analog conversion unit (DAC); the base station serves M user terminals (M≤N) at the same time, and each user The terminal is configured with a single receiving antenna and an analog-to-digital conversion unit (ADC) with limited precision quantization; the downlink channel matrix H in the system can be expressed as

[0033]

[0034] in Represents an uncorrelated Rayleigh channel matrix, whose dimension is MxN, and R represents the correlation matrix of the antenna array at the base station side, whose dimension is NxN;

[0035] (2) The equivalent receiving SINR γ of each user in the downlink is calculated accord...

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Abstract

The invention discloses an optimal regular pre-coding method in low-precision quantitative large-scale MIMO; in a large-scale MIMO system, a base station needs to be configured with tens or even hundreds of antennas. In order to reduce hardware cost and system power consumption, the base station end configures a low-precision quantization DAC for each antenna, and the user terminal is generally configured with a limited precision quantization ADC. In addition, due to the fact that the number of the antennas of the base station is huge, the size of the equipment is limited; antenna array arrangement is dense, multiple antenna spatial channels are not independent, and correlation exists. According to the regular pre-coding method in the invention, the influence of low-precision quantizationand channel correlation is comprehensively considered, and the base station end is optimized under the criterion of maximizing each user to receive the signal to interference plus noise ratio; the number of antennas of the base station, the quantization precision of the DAC and the signal-to-noise ratio are given, and the method can quickly determine an optimal regular pre-coding calculation form;the method is simple in calculation and has positive significance for downlink transmission of the large-scale MIMO system.

Description

technical field [0001] The invention relates to an optimal canonical precoding method in a low-precision quantization large-scale multiple-input multiple-output system (MIMO), and belongs to the technical field of wireless communication. Background technique [0002] Massive MIMO technology has the advantages of greatly increasing system capacity, improving spectrum and power efficiency, and has been recognized as one of the key supporting technologies in future mobile communication systems. The original single-user MIMO technology can obtain multi-antenna diversity gain by deploying multiple transmit / receive antennas. However, in order to fully reuse spectrum and space resources, researchers first proposed a multi-user MIMO transmission method. This transmission mode allows multiple users to multiplex the same time-frequency resources for data transmission, while different user data are distinguished through precoding. Researchers such as Jindal, Vishwanath and Goldsmith ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0456H04B7/0413
CPCH04B7/0413H04B7/0456
Inventor 许威徐锦丹
Owner SOUTHEAST UNIV