التفاصيل البيبلوغرافية
| العنوان: |
基于混沌二进制粒子群算法的认知无线电频谱分配策略. (Chinese) |
| Alternate Title: |
Spectrum allocation strategy of cognitive radio based on chaos logistic binary particle swarm optimization algorithm. (English) |
| المؤلفون: |
滕志军, 谢露莹, 滕利鑫, 曲福娟 |
| المصدر: |
Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition); 2019, Vol. 31 Issue 5, p601-608, 8p |
| مصطلحات موضوعية: |
SPECTRUM allocation, PARTICLE swarm optimization, GLOBAL optimization, COGNITIVE radio, MATHEMATICAL optimization, RADIO networks |
| Abstract (English): |
In order to solve spectrum allocation with maximum network benefit as the criterion in cognitive radio networks, a dynamic time varying spectmm allocation strategy based on chaotic logistic binary particle swarm optimization algorithm is propose 1. In this strategy, given that the binary particle swarm optimization has a slow convergence rate and a single particle defect in late search process, the chaotic map is introduced to optimize the initial population and the optimal location of every generation particle. It improves the global optimization performance of particles. A mathematical model is built for dimension reduction spectmm allocation. It reduces the computational complexity of the algorithm and the time cost. The experimental results show that the algorithm has a fast convergence rate and can obtain higher network revenue. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
为了解决认知无线电网络中以最大化网络效益为准则的频谱分配难问题ꎬ提出一种基于混沌二进制粒子 群算法的动态时变频谱分配策略ꎮ 在该策略中ꎬ针对二进制粒子群算法收敛速度慢且后期粒子搜索具有单一性的 缺陷ꎬ引入混沌映射对初始种群和每代粒子位置进行遍历优化ꎬ以提高粒子的全局寻优性能ꎬ搭建降维频谱分配数 学模型ꎬ降低算法计算繁杂度ꎬ减少时间开销ꎮ 实验结果证明ꎬ所提算法收敛速率快ꎬ可获得较高的网络收益ꎮ [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |