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Large-scale MIMO channel model modeling method based on random coupling

A channel model and random coupling technology, applied in radio transmission systems, transmission monitoring, electrical components, etc., can solve the problem that the Rayleigh distribution cannot correctly describe the fading characteristics, and achieve the effect of reducing complexity, high accuracy, and ensuring accuracy

Pending Publication Date: 2021-08-10
JIANGNAN UNIV
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Problems solved by technology

[0003] For this reason, the technical problem to be solved by the present invention is to overcome the problem that the Rayleigh distribution cannot correctly describe the fading characteristics in the prior art, and propose a large-scale MIMO channel model building based on random coupling that improves the accuracy of MIMO and reduces its complexity. model method

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  • Large-scale MIMO channel model modeling method based on random coupling
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[0033] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0034] In the description of the present invention, it should be understood that the term "comprising" is intended to cover a non-exclusive inclusion, such as a process, method, system, product or device that includes a series of steps or units, and is not limited to the listed Instead, the steps or elements optionally also include steps or elements that are not listed, or optionally also include other steps or elements that are inherent to the process, method, product or apparatus.

[0035] refer to figure 1 As shown in the flowchart, an embodiment of a random coupling-based massive MIMO channel model modeling method of the present invention includes the following steps:

[0036...

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Abstract

The invention discloses a large-scale MIMO channel model modeling method based on random coupling. The method comprises the following steps: obtaining unparameterized unilateral correlation matrixes RMS and RBS of an MS side and a BS side by using a total correlation matrix; setting the feature bases of the RMS and the RBS as a BS-side guiding matrix which does not change along with a spatial covariance matrix, and setting Nakagami distribution on link fading between the feature bases of the BS side and the MS side; decomposing unparameterized RMS features to obtain a feature base of an MS side, and generating an independent identically distributed matrix O through Nakagami distribution; and constructing a channel impulse response matrix. According to the method, the steering vector is used, the coupling between the steering matrix of the BS side and the feature base of the MS side is used for representing the correlation matrix, the Nakagami distribution is used for describing the fading of the coupling between the steering vector and the feature base, the complexity is low, the accuracy is high, and the method is suitable for a random CIRM model of a large-scale MIMO channel.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a random coupling-based massive MIMO channel model modeling method. Background technique [0002] Massive multiple-input multiple-output (Multi Input Multi Output, MIMO) technology has received more and more attention in recent years, and the characteristics of massive MIMO channels are extremely important researches. The channel impulse response matrix (Channel Impulse Response Model, CIRM) of the MIMO channel has always been modeled in a random manner, and typical antenna cross-correlation modeling methods include the Kronecker method, virtual channel model and Weichselberger model. The Kronecker method independently models the spatial correlation of the transmitter and receiver, and can decompose the full correlation matrix into the Kronecker product of unparameterized one-sided spatial correlation matrices at the base station (BS) and mobile station (MS), thus ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0413H04B7/0456H04B17/391
CPCH04B7/0413H04B7/0456H04B17/391
Inventor 刘洋郭欣戴蓉余雨吕文俊朱洪波李钢朱璇谷稳
Owner JIANGNAN UNIV
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