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Method for optimizing cognitive radio system parameters in membrane structure

A technology for cognitive radio and system parameters, applied in wireless communication, electrical components, advanced technology, etc., can solve problems such as not being able to obtain sufficient accuracy

Active Publication Date: 2014-07-23
HARBIN ENG UNIV
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Problems solved by technology

However, the traditional parameter optimization process is regarded as a discrete optimization problem, so it cannot obtain sufficient accuracy

Method used

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  • Method for optimizing cognitive radio system parameters in membrane structure
  • Method for optimizing cognitive radio system parameters in membrane structure
  • Method for optimizing cognitive radio system parameters in membrane structure

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] The invention relates to two fields of cognitive radio and intelligent processing. It solves the shortcomings of quantization error in the cognitive radio system parameter optimization method using the discrete optimization method to solve the hybrid optimization problem, and realizes the joint optimization of the minimum transmit power, minimum bit error rate and maximum data rate in different communication modes. An optimal high-precision system parameter determination scheme. The steps of the method: set the membrane structure, randomly generate the mixed position and speed of the quantum geese group, determine the target weight to construct the fitness function for all geese according to the communication mode requirements, map the mixed position of the geese into system parameters and calculate according to the fitness function The fitness of geese, determ...

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Abstract

The invention relates to a method for optimizing cognitive radio system parameters in a membrane structure. According to the method, by means of a mixture quantum goose swarm method in the membrane structure, the minimized transmitting power, the minimized bit error rate and the maximized data rate of a cognitive radio system are optimal simultaneously. The method includes the steps that the membrane structure is determined, the quantum position and the speed are generated, the system parameters and the mixing positions correspond to each other in a one-to-one mode, the speed and the quantum position are updated, the system parameters are formed through mapping, a fitness value is calculated, an optimal local mixing position and an optimal global mixing position of each goose are updated, the optimal global mixing positions are updated, and the optimal global mixing positions traveled by all geese of the whole quantum goose swarm are mapped to the system parameters and output from a surface membrane. The optimization problem of the system parameters with mixed disperses and continuous parameters is solved, the mixture quantum goose swarm method in the membrane structure is designed to serve as a solving strategy, and the designed method has the advantages of being high in convergence precision and convergence speed.

Description

technical field [0001] The invention relates to a method of mixing quantum geese under the membrane structure to achieve the optimal cognitive radio system under a membrane structure to minimize the transmission power, minimize the bit error rate and maximize the data rate. Method for radio system parameter optimization. Background technique [0002] With the rapid growth of demand for wireless communication services, non-renewable spectrum resources are increasingly scarce, and it has become an urgent hope to improve spectrum utilization and alleviate the shortage of spectrum resources. Cognitive radio, as an emerging technology, can effectively solve the problem of extremely low utilization rate caused by fixed spectrum allocation. This technology improves the utilization rate of the spectrum through the secondary utilization of the licensed spectrum, that is, the use of idle spectrum without interfering with the normal work of licensed users. A big deal." [0003] Cogn...

Claims

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Application Information

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IPC IPC(8): H04W16/14H04W24/02
CPCY02D30/70
Inventor 高洪元李晨琬刁鸣赵忠凯
Owner HARBIN ENG UNIV
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