Spectrum allocation method based on fuzzy logic genetic algorithm

Abstract

The invention discloses a spectrum allocation method based on a fuzzy logic genetic algorithm, which mainly solves the problems of low allocation efficiency and high complexity of traditional cognitive network spectrum allocation. The spectrum allocation method based on the fuzzy logic genetic algorithm comprises a static network allocation method and a dynamic network allocation method. The static network allocation method comprises mapping a spectrum allocation matrix onto a chromosome, adaptively adjusting crossover rate and variation rate by fuzzy logics in an iterative process of a genetic algorithm, performing crossing-over and variation operation and inversely mapping the chromosome onto the chromosome so as to optimize the spectrum allocation. The dynamic network allocation method comprises establishing a discussion group for each mobile subscriber, mapping a spectrum allocation matrix in the discussion group onto a chromosome and optimizing spectrum resources in the group by the fuzzy logic genetic algorithm so that the spectrum resources of the whole network are optimized. The static network spectrum allocation method has the advantage of efficient spectrum allocation. The dynamic network allocation method has the advantages of low complexity and less time consumption. The spectrum allocation method based on the fuzzy logic genetic algorithm is useful for cognition of a static network and a dynamic network.

Description

technical field [0001] The invention belongs to the field of cognitive radio technology in wireless communication, and relates to a cognitive spectrum allocation method. Specifically, it uses a genetic algorithm controlled by fuzzy logic to solve the problem of spectrum allocation from both centralized and distributed aspects, and can be applied to cognitive in the network. Background technique [0002] Cognitive radio technology in wireless communication is a kind of intelligent radio communication technology, which can achieve high reliability of communication system and high efficiency of spectrum utilization anytime and anywhere by sensing the surrounding environment and modulating operating parameters. [0003] With the development of cognitive radio technology and the gradual improvement of the IEEE802.22 standard, the access and allocation technology of cognitive spectrum resources has also received extensive attention and research from scholars. In the cognitive net...

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Problems solved by technology

[0008] Due to their own theoretical characteristics, the first and second types of methods have disadvantages such as high computational complexity and long spectrum allocation time; the third type of method has low algorithm complexity, but low spectrum allocation efficiency, and is used as a greedy algorithm for static networks. , max-sum bandwidth algorithms, and one-to-one local negotiation algorithms for dynamic networks fall into this category

[0009] Zhijin Zhao introduced the genetic algorithm into the spectrum allocation process in the article Cognitive Radio Spectrum Allocation using Evolutionary Algorithms. The proposed quantum genetic algorithm (Quantum Genetic Algorithm, QGA) has efficient spectrum allocation performance, but only considers the static spectrum allocation algorithm, when When the network topology is huge and the wireless network environment changes dynamically, the calculation load of the static spectrum allocation algorithm increases, and the algorithm efficiency is greatly reduced

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