Cognitive radio method based on improved genetic algorithm

An improved genetic algorithm and cognitive radio technology, applied in wireless communication, transmission monitoring, electrical components, etc., can solve problems such as protection, differential treatment, and no good individuals

Inactive Publication Date: 2012-06-27
BEIJING JIAOTONG UNIV
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Problems solved by technology

However, the simple genetic algorithm does not control the chromosomes. If individuals with high fitness appear in the population, it is very easy to obtain a local optimal solution.
In addition, the simple genetic algorithm uses fixed cr

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  • Cognitive radio method based on improved genetic algorithm
  • Cognitive radio method based on improved genetic algorithm
  • Cognitive radio method based on improved genetic algorithm

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Embodiment Construction

[0036] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0037] figure 1 It is a flowchart of the cognitive radio method based on the improved genetic algorithm. figure 1 Among them, the cognitive radio method based on the improved genetic algorithm provided by the present invention includes:

[0038] Step 1: Set the initial parameters of the cognitive radio, such as power, modulation mode, roll-off coefficient, symbol rate, etc., and use these parameters to connect and form the cognitive radio chromosome. Then set the value range of each parameter, and determine the number of coding bits used according to this range, and finally determine the chromosome size.

[0039] Step 2: Set the initial mutation probability, population size and maximum evolution algebra, and set the...

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Abstract

The invention discloses a cognitive radio method based on an improved genetic algorithm in the technical field of radio communication. The cognitive radio method comprises the steps of: setting initial parameters of cognitive radio and using the initial parameters as chromosomes of the genetic algorithm; setting initial mutation probability, population size and maximum evolutional generations, and setting target functions which reflect current link quality and the weight of each target function; calculating a population fitness value; conducting scale transformation of the fitness value; selecting the chromosomes; using self-adaptive crossover probability and mutation probability to conduct two-point crossover and individual mutation on the chromosomes; judging whether a condition of convergence is reached or not, and if not, returning to calculate the population fitness value; and if so, outputting a result set and using the results as the parameters of the cognitive radio. The cognitive radio method solves the problem that the final solution set is apt to be converged into a locally optimal solution in the genetic algorithm, and guarantees the diversity of populations and the convergence of the genetic algorithm at the same time.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a cognitive radio method based on an improved genetic algorithm. Background technique [0002] The continuous increase in demand for wireless communication services leads to an increasing demand for spectrum resources in wireless communication systems, so that wireless spectrum resources become increasingly scarce. However, research on spectrum measurement shows that the utilization rate of licensed spectrum is very low, the waste of licensed spectrum holes is serious, and the static spectrum allocation system does not match the dynamic spectrum utilization method. The basic idea to solve this problem is to improve the existing spectrum utilization as much as possible. Cognitive radio technology emerges as a technology that can meet this requirement. [0003] The concept of cognitive radio (Cognitive Radio, CR) was proposed by Dr. Joseph Mitolo in 199...

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Application Information

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IPC IPC(8): H04W16/14H04B17/00G06N3/12H04B17/382
Inventor 赵军辉李非张雪雪
Owner BEIJING JIAOTONG UNIV
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