吉林大学学报(工学版) ›› 2019, Vol. 49 ›› Issue (4): 1363-1368.doi: 10.13229/j.cnki.jdxbgxb20180844
• • 上一篇
基于遗传粒子群优化算法的认知无线电系统功率分配
王宏志(
),姜方达,周明月
- 长春工业大学 计算机科学与工程学院，长春 130012
Power allocation of cognitive radio system based on genetic particle swarm optimization
Hong⁃zhi WANG(),Fang⁃da JIANG,Ming⁃yue ZHOU
- School of Computer Science and Engineering, Changchun University of Technology, Changchun130012, China
摘要：
考虑授权用户的干扰功率阈值和认知用户的信干噪比（Signal to interference plus noise ratio，SINR）要求，提出了一种基于遗传思想的粒子群优化（Genetic particle swarm optimization，GPSO）算法，研究认知用户发射功率最小化的问题。GPSO算法在适应度值计算、速度更新和位置更新阶段引入选择、交叉和变异操作。仿真结果表明，与拉格朗日乘子法和粒子群优化（Particle swarm optimization，PSO）算法相比，GPSO算法降低了发射功率并获得了更高的SINR。
中图分类号:
- TN929.5
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