Open AccessJournal Article
Spectrum Allocation Based on Improved Genetic Algorithm in Cognitive Radio System
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TL;DR: Simulation results show that the improved algorithm can find the optimal adaptive point quickly and accurately and improve the search efficiency, and has better system benefit.
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Abstract: In the cognitive radio system,spectrum allocation technology is the key to decide whether the limited frequency spectrum can be used fully and efficiently,which depends on the optimal solution of maximizing system benefit. The hybrid adaptability was introduced firstly to solve the problems that the traditional adaptive genetic algorithm fall into local optimal solution and has a large amount of calculation,in which fixed crossover and mutation probability or adaptive crossover and mutation probability was used according to the population evolution algebra. Then the idea of golden ratio used to calculate adaptive crossover and mutation probability was presented to solve the problem of long operation time. In the end,the performance of system benefit and time cost were simulated. Simulation results show that the improved algorithm can find the optimal adaptive point quickly and accurately and improve the search efficiency,and has better system benefit.
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Cognitive radio resource allocation based on the improved quantum genetic algorithm
Abstract: In the spectrum allocation of cognitive radio (CR) network, the problems of local optimum and premature convergence remain challenging. To further improve the efficiency of the spectrum allocation, this paper proposes a novel method based on an improved quantum genetic algorithm. This is an algorithm that is designed to dynamically adjust the quantum rotation angle to speed up the convergence rate. In particular, the variation threshold was introduced to the mutation operation on chromosomes, establishing new interference constraint rules in the process of spectrum allocation. The simulation work was implemented for validation, and the results revealed that the proposed methodology achieved better average benefits of the CR network for a reasonable allocation of the spectrum.
Research on Spectrum Allocation of HF Access Network Based on Intelligent Frequency Hopping
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- 01 Dec 2015
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