Journal of Jilin University(Engineering and Technology Edition) ›› 2019, Vol. 49 ›› Issue (4): 1363-1368.doi: 10.13229/j.cnki.jdxbgxb20180844

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Power allocation of cognitive radio system based on genetic particle swarm optimization

Hong⁃zhi WANG(),Fang⁃da JIANG,Ming⁃yue ZHOU   

  1. School of Computer Science and Engineering, Changchun University of Technology, Changchun130012, China
  • Received:2018-07-03 Online:2019-07-01 Published:2019-07-16

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Abstract:

Considering the requirements of the interference power threshold for the primary users and the signal to interference plus noise ratio (SINR) for the secondary users, this paper proposes a particle swarm optimization based on genetic thought, namely genetic particle swarm optimization (GPSO). This scheme studies the issue of minimizing secondary users' transmit power in the CRN. The GPSO algorithm introduces selection, crossover, and mutation operations in the fitness value calculation, speed update, and location update phases. Compared with the Lagrange multiplier method and PSO, the GPSO algorithm reduces the transmit power and obtains a higher SINR.

Key words: communication technology, cognitive radio networks, power control, particle swarm optimization(PSO) algorithm, genetic algorithm

CLC Number: 

  • TN929.5

Fig.1

Flow chart of proposed algorithm"

Fig.2

Relationship between iterations and secondary users′ transmission power"

Fig.3

Relationship between iterations and secondary users′ SINR"

Fig.4

Relationship between iterations and secondary users′ transmission rate"

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