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A Variational Inference Method for Estimating Primary User Duty Cycle

A technology of duty cycle and primary user, applied in the field of cognitive radio, can solve the problems of overestimating the duty cycle of the primary user and underestimating the duty cycle of the primary user, etc., and achieve the effect of combating noise uncertainty

Active Publication Date: 2021-06-22
NINGBO UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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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  • A Variational Inference Method for Estimating Primary User Duty Cycle
  • A Variational Inference Method for Estimating Primary User Duty Cycle

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Embodiment Construction

[0022] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0023] A variational inference method proposed by the present invention to estimate the duty cycle of the primary user, its overall flow chart is as follows figure 1 As shown, it includes the following steps:

[0024] Step 1: In the cognitive radio system, the signal in consecutive N time slots is sampled, and L samples are collected at equal time intervals in each time slot, and the signal in the nth time slot will be sampled The jth sample obtained is denoted as r n (j); Wherein, N≥1000, such as N=1500, L≥100, such as L=100, n and j are positive integers, the initial values ​​of n and j are 1, 1≤n≤N, 1≤j≤L.

[0025] Step 2: Calculate the average power of all samples collected in each time slot, and record the average power of all samples collected in the nth time slot as x n , Among them, the symbol "||" is a modulo operation symbol for ...

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Abstract

The invention discloses a variational inference method for estimating the duty ratio of a primary user, which samples signals in a plurality of consecutive time slots; calculates the average power of each time slot according to the samples collected in each time slot; Introduce a mixed Gaussian model with multiple Gaussian distributions; use the variational inference method to calculate the Dirichlet distribution parameters corresponding to the mixing coefficient of each Gaussian distribution, two hyperparameters of the mean and two hyperparameters of the accuracy; according to the five parameters Calculate the variational lower bound; determine the decision formula according to the value before and after the change of the variational lower bound, and determine whether to update the probability of each Gaussian distribution of the average power of each time slot according to the decision formula; for the average power of each time slot, according to its corresponding Multiple probabilities classify the average power; according to the average power number and the total number of slots in the category with the smallest average value, the estimated value of the primary user’s duty cycle is obtained; the advantage is that the primary user’s duty cycle can be accurately estimated without requiring Knowing the noise power, there is no need to set a threshold.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382
CPCH04B17/382
Inventor 何鸣金明
Owner NINGBO UNIV