Method for rapidly assessing multi-antenna system channel capacity stability

Abstract

The invention discloses a method for rapidly assessing multi-antenna system channel capacity stability. Aiming at the channel capacity stability problems in various wireless communication systems, the method includes that the influence of the spatial correlation of a MIMO system and the coupling effect of an antenna array element is comprehensively considered at a receiving end to obtain a channel transmission matrix of the MIMO system, and a generalized inverse matrix of the channel transmission matrix is constructed; and according to the related knowledge of the matrix analysis, the F-norm theory analytic expression of the inverse matrix, namely, the F inverse norm of the channel matrix, is calculated theoretically, and according to the changing trend of the F inverse norm of the channel matrix, the trend that the channel capacity changes along with the system key parameters can be seen. The method fully considers all of the feature values of the channel matrix, therefore, the change trend of the future wireless communication system channel capacity can be accurately estimated according to the method.

Description

Technical field [0001] The invention relates to the field of wireless communication, in particular to a method for quickly assessing the stability of the channel capacity of a multi-antenna system. Background technique [0002] In the process of constructing the basic theory of multiple-input multiple-output MIMO transmission technology, how to effectively ensure the capacity of the system has always been one of the focuses of scientific workers at home and abroad. In 1996, Foschini, an expert in the American Bell Experiment, first proposed the problem of the capacity or transmission rate limit of a MIMO communication system: Suppose it is used to describe the N×M-dimensional wireless channel transmission matrix with M transmitting antennas and N receiving antennas. The element of is a completely independent and identically distributed flat Rayleigh fading random variable, then the channel capacity of the system increases linearly with the minimum number of antennas at the transc...

AI Technical Summary

Problems solved by technology

[0007] However, in an actual wireless communication system, since the mobile station is usually in a relatively complex communication environment, the independent and flat Rayleigh channel statistical properties assumed in the above formula may not be satisfied, which will inevitably lead to The system capacity fluctuates or changes

Existing research results have shown that for mobile communication systems operating in the 3MHz-3GHz frequency band, the propagation of electromagnetic waves includes various forms such as refraction, scattering, and reflection. will be attenuated to varying degrees

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