Cooperative spectrum sensing method based on birth and death process and viscosity hidden Markov model

Abstract

The invention discloses a cooperative spectrum sensing method based on a birth and death process and a viscosity hidden Markov model. The method comprises the steps of taking the corresponding received signal power of each cognitive user in each channel as the observation data of the hidden Markov model; determining the hidden state of the observation data, the probability of belonging to varioushidden states and a state transition probability matrix; introducing a viscosity factor to obtain a viscosity hidden Markov model; calculating a clustering result of the hidden state of the observation data under each iteration, updating the clustering result and the hidden state category number through a birth and death process, and calculating a state transition probability matrix, a mean vectorand a precision matrix; and calculating the power estimation value of each cognitive user in each channel according to the channel power estimation values of various hidden states and the value of the hidden state in the last iteration after the iteration is finished, and determining whether the channel at one cognitive user is occupied by an authorized user or not by comparing the power estimation value with a threshold value. The method has the advantages that spectrum sensing is carried out on a plurality of cognitive users, and the spectrum sensing performance is good.

Description

technical field [0001] The invention relates to a multi-cognitive user spectrum sensing technology in a cognitive radio, in particular to a cooperative spectrum sensing method based on a birth-death process and a sticky hidden Markov model. Background technique [0002] Compared with the fourth-generation mobile communication technology, the fifth-generation mobile communication (5G) technology can increase the data rate to 10Gbit / s, reduce the delay to 1 millisecond, and increase the number of connected devices by 100 times. The realization of these requirements depends on a large number of spectrum resources, but the available spectrum resources are limited and have basically been allocated. In order to solve the problem of shortage of spectrum resources in wireless networks, a common idea in the industry is to introduce cognitive radio technology to improve the utilization of spectrum resources. Different from the traditional system where the frequency band is occupied b...

AI Technical Summary

Problems solved by technology

However, existing cooperative spectrum sensing schemes often utilize hard decisions (i.e., cognitive users only send local decision results to the fusion center for global decision-making) to achieve detection, which does not consider more perceptual information of each cognitive user ( Such as sample average power information) and possible malicious user interference in the scene, resulting in generally unsatisfactory spectrum sensing performance

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