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Method for obtaining interference alignment precoding based on genetic algorithm

A genetic algorithm and interference alignment technology, applied in the field of signal transmission, can solve the problem of high algorithm complexity, achieve the effect of improving system capacity and alleviating the shortage of spectrum resources

Active Publication Date: 2018-04-20
ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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Problems solved by technology

Usually, the methods for solving such fitness functions include the steepest descent method, ant colony algorithm, interior point method, etc., but the complexity of these algorithms is usually high

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  • Method for obtaining interference alignment precoding based on genetic algorithm
  • Method for obtaining interference alignment precoding based on genetic algorithm
  • Method for obtaining interference alignment precoding based on genetic algorithm

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Embodiment Construction

[0026] In order to make the purpose, technical solution and advantages of the present invention more clear, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0027] The steps shown in the flowcharts of the figures may be performed in a computer system, such as a set of computer-executable instructions. Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0028] Embodiments of the present invention provide a method for obtaining interference-aligned precoding based on a genetic algorithm. In this method, as a fitness function in the genetic algorithm, the total system capacity is expressed as:

[0029] ...

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Abstract

The invention discloses a method for obtaining interference alignment precoding based on a genetic algorithm, which comprises the following steps: coding each group of precoding matrices and interference suppression matrices of a receiving end in a sequence number coding mode; initializing the precoding matrices and the interference suppression matrices; adopting a fitness function to evaluate thefunction value of the fitness of each chromosome; adopting a roulette mode to randomly select some chromosomes except the chromosome with the highest fitness function value to form a new population;adding the chromosome with the highest fitness function value to the new population; performing cross combination on the two chromosomes which are randomly selected in the new population by adopting adual-daughter-chromosome amphiphilic cross method; carrying out a mutation operation on each bit of each chromosome in the new population by using a variation probability; judging whether the function value of the fitness meets a termination condition or not; and decoding and outputting the precoding matrices and the interference suppression matrices when the termination condition is met. According to the method, a nonlinear multi-objective function optimization problem is solved through the genetic algorithm.

Description

technical field [0001] The invention relates to signal transmission technology, in particular to a method for obtaining interference alignment precoding based on a genetic algorithm. Background technique [0002] Interference alignment technology is a co-channel interference suppression and elimination technology that can effectively alleviate spectrum resource conflicts and improve communication system capacity. However, the realization of interference alignment technology depends on effective transmission precoding and receiving decoding (ie, precoding matrix and interference suppression matrix). During the solution process of these two matrices, the fitness function is a complex nonlinear function. Usually we When the fitness function needs to be solved to reach the maximum value, the values ​​of the precoding matrix and the interference suppression matrix are sent. Usually, methods for solving such fitness functions include steepest descent method, ant colony algorithm,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04J11/00H04B7/0456
CPCH04B7/0456H04J11/0026
Inventor 王朋飞
Owner ZHENGZHOU YUNHAI INFORMATION TECH CO LTD
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