A method for calculating signal-to-noise ratio and user equipment ue

Abstract

The invention discloses a method for calculating the signal-to-noise ratio and a UE, which can save storage resources and improve the calculation rate. The method in the embodiment of the present invention includes: acquiring a pilot signal; calculating the channel coefficient value corresponding to the pilot signal; calculating each subcarrier of the target data stream according to the current signal-to-noise ratio, the channel coefficient value, and related parameters of the linear receiver The first SNR of the signal-to-noise ratio SNR, and calculate the second SNR of each subcarrier under the ideal interference cancellation; Calculate the first average received bit information rate RBIR of the subcarrier of the target data stream according to the first SNR, and according to The second SNR calculates the second average RBIR of the subcarrier of the target data stream; calculates the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, and the second interpolation coefficient is a third average RBIR, the first interpolation coefficient is related to a modulation order, and the second interpolation coefficient is related to coding efficiency; mapping the third average RBIR to a third SNR.

Description

technical field [0001] The present invention relates to the field of communication technologies, in particular to a method for calculating a signal-to-noise ratio and user equipment (English full name: User Equipment, English abbreviation: UE). Background technique [0002] The maximum likelihood receiver is a commonly used receiver technology. How to effectively evaluate the performance of the maximum likelihood receiver, especially the system performance gain, how to accurately feed back the channel quality indicator (English full name: Channel Quality Indicator, English abbreviation: CQI) and improve The system capacity is a problem to be solved, and the key point to solve the problem is how to effectively predict the signal-to-noise ratio (English full name: Signal to Noise Ratio, English abbreviation: SNR) of the maximum likelihood receiver. [0003] At present, the method of predicting the SNR of the maximum likelihood receiver is as follows: UE obtains the pilot signa...

AI Technical Summary

Problems solved by technology

[0004] Since there will be interpolation coefficients in the specific method for calculating the third SNR above, and the interpolation coefficients are tightly coupled with the modulation order and coding efficiency, resulting in the prediction of BLER will need to store a lot of fitting parameters, for example, there are M different modulation orders, N different encoding efficiencies, (M×N) fitting parameters are required, which wastes a lot of storage resources and the calculation rate is not high.

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