Spectrum sensing method based on multi-objective quantum firefly search mechanism

Abstract

The invention provides a spectrum sensing method based on a multi-target quantum glowworm searching mechanism. The method comprises the steps that a multi-target spectrum sensing model is built, and parameters of a searching method are determined; a form of a multi-target fitness function needing to be solved is determined; non-dominated quantum position sorting is conducted on quantum positions of quantum glowworms in population according to fitness values of the quantum positions, and the quantum positions, of which the non-dominated level is 1, of the quantum glowworms are put into an elite quantum position set; the quantum positions of the quantum glowworms are updated by using a quantum coding mechanism and a quantum evolution behavior, non-dominated quantum positions are selected, and the elite quantum position set is updated; according to the final Pareto front-end quantum position set, a cognitive radio system selects a corresponding quantum position according to the different requirements of the maximized detection probability and the minimized false alarm probability. According to the spectrum sensing method based on the multi-target quantum glowworm searching mechanism, the technical problem of multi-target spectrum sensing can be solved, and the spectrum sensing method can be applied to some scenes to which an existing cognitive radio spectrum sensing method cannot be applied.

Description

technical field [0001] The invention relates to a multi-target spectrum sensing method. Background technique [0002] An important development trend of mobile communication in the future is broadband multimedia communication, and the shortage of wireless spectrum resources has become a major factor restricting its development. Research by the Federal Communications Commission of the United States shows that the spectrum utilization rate of the current fixed spectrum allocation method is low. The basic starting point of cognitive radio (Cognitive Radio, CR) technology is to improve spectrum utilization. This technology allows cognitive users to use idle spectrum without interfering with licensed users, thereby improving spectrum utilization. Cognitive users search for available spectrum resources by sensing changes in the external environment, and perform dynamic spectrum access, thereby improving spectrum capacity and spectrum utilization. Cognitive radio technology allevi...

AI Technical Summary

Problems solved by technology

[0004] Through the retrieval of existing relevant technical documents, it is found that "Optimal Linear Cooperation for Spectrum" published by Zhao Quan et al. in "IEEE Journal of Selected Topics in Signal Processing" (2008, Vol. Sensing in Cognitive Radio Networks” proposes a linear cooperative spectrum sensing framework, under which an optimal linear cooperative spectrum sensing method in cognitive radio networks is proposed, which has low computational complexity, but it is a typical single The objective method cannot consider maximizing the detection probability and minimizing the false alarm probability at the same time

"Cooperative Spectrum Sensing with Multi-channel Coordination in Cognitive Radio Networks" published by Chenqi Song et al. in "2010, IEEE International Conference on Communications, 2010, pp: 1-5" proposes a collaborative spectrum sensing method under multi-channel. The method can obtain better sensing results under single-target requirements, but it still cannot solve the problem of multi-target spectrum sensing that simultaneously considers maximizing detection probability and minimizing false alarm probability

Images