Spectrum decision-making multi-objective optimization method based on adaptive population search algorithm

Abstract

The invention discloses a spectrum decision-making multi-objective optimization method based on an adaptive population search algorithm. The method comprises the following steps that a spectrum parameter decision-making model is established; initialization is carried out; the optimum individual in a population performs a discovery policy, and the other individuals select performing polices; the individuals in the population perform sequence pairing in pairs and perform single-point cross operation; linear arrangement is carried out on the individuals in the population; the individuals in the population perform direction mutation operation; current target function values of all individuals in the population are updated; and whether the current iteration times reaches the preset maximum times or not is judged, if the current iteration times reaches the preset maximum times, the optimum solution is output, and if the current iteration times does not reach the preset maximum times, the step of carrying out the linear arrangement on the individuals in the population is carried out. According to the optimization method, the minimum bit error rate, the minimum transmitting power and the maximum data rate of a cognitive radio system are optimized at the same time.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular provides a spectrum decision-making multi-objective optimization method based on an adaptive group search algorithm. Background technique [0002] The complex and changeable electromagnetic environment brings more and more uncertainties to the electronic information systems working therein. In a complex electromagnetic environment, spectrum resources are limited and the utilization rate is low. How to effectively allocate the limited spectrum is the key issue to solve the shortage of wireless spectrum resources, and it is also the key issue for my country to grasp the right to win the electromagnetic war. [0003] Radio signals in the electromagnetic environment are complex and changeable, and the overall adaptive performance is dynamic and multi-target, and there are also characteristics such as mutual constraints between multiple targets. In terms of multiple ...

AI Technical Summary

Problems solved by technology

Moreover, these goals are often mutually constrained, such as minimizing the bit error rate and minimizing the transmission energy are contradictory, because the BER may be increased while reducing the transmission energy

[0004] The existence of the above problems makes the dynamic spectrum allocation of traditional communication networks and wireless networks unable to meet the ever-changing needs of users in complex electromagnetic environments for bandwidth, the number of available channels, and location information.

Images