Method for estimating master user duty ratio through variation inference

Abstract

The invention discloses a method for estimating a master user duty ratio through variational inference. The method comprises the following steps: sampling signals in a plurality of continuous time slots; calculating the average power of each time slot according to the samples collected in each time slot; introducing a mixed Gaussian model with a plurality of Gaussian distributions; calculating a Dirichlet distribution parameter corresponding to the mixing coefficient of each Gaussian distribution, two hyper-parameters of a mean value and two hyper-parameters of precision by using a variationalinference method; calculating a variational lower bound according to the five parameters; determining a decision formula according to the values before and after the variation lower bound change, anddetermining whether to update the probability that the average power of each time slot obeys each Gaussian distribution or not according to the decision formula; for the average power of each time slot, classifying the average power according to a plurality of probabilities corresponding to the average power; obtaining an estimated value of the duty ratio of the main user according to the averagepower number and the total number of time slots in the category with the minimum average value; the method has the advantages that the duty ratio of a main user can be accurately estimated, noise power does not need to be known, and a threshold value does not need to be set.

Description

technical field [0001] The present invention relates to a cognitive radio technology, in particular to a variational inference method for estimating the duty cycle of a primary user. Background technique [0002] The limitation of radio spectrum resources and the substantial increase in people's demand for radio spectrum resources constitute a major contradiction in the development of wireless communications today. A large number of studies have shown that the existing fixed spectrum resource allocation strategy makes the spectrum resources cannot be fully utilized, and fully improving the utilization of spectrum resources will effectively alleviate the above contradictions. Dynamic spectrum access technology provides a feasible solution to improve the utilization of spectrum resources and alleviate the shortage of spectrum resources. Dynamic spectrum access means that wireless devices can interact with their communication environment and change their own transmission param...

AI Technical Summary

Problems solved by technology

At present, the threshold value is often set by the constant false alarm probability. However, when the false alarm probability is set high and the signal-to-noise ratio is high, the above three methods will seriously overestimate the duty cycle of the primary user; When the false alarm probability is set low and the signal-to-noise ratio is low, the above three methods will seriously underestimate the duty cycle of the primary user

In addition, the above three methods need to know the noise power to set the threshold value through the constant false alarm probability

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