太原理工大学学报2009，Vol.40Issue(6)：589-591,595,4.
基于遗传算法和微粒群算法的自适应调制研究
Study on Adaptive Modulation based on GA and PSO
摘要
Abstract
Choosing several digital modulation modes as an example, adaptive Modulation was introduced. Via improved genetic algorithm and particle swarm optimization, the throushput of system was optimized under the conditions of constant power and limited average BER(bit error rate).Therefore,precise decision and fast modulation-mode switching were made with regard to CSI(channel state information). Simulation results show that the proposed system can adjust the switching-mode in case of different channel conditions and practical needs. The tradeoff between reliability and efficiency can be realized in the system. Meanwhile the two algorithms were compared in modulation-mode switching.关键词
遗传算法/微粒群算法/自适应调制Key words
genetic algorithm/particle swarm optimization/adaptive modulation分类
信息技术与安全科学引用本文复制引用
雷国伟,黄诗浩,游荣义..基于遗传算法和微粒群算法的自适应调制研究[J].太原理工大学学报,2009,40(6):589-591,595,4.基金项目
福建省自然科学基金计划资助项目(C0710036) （C0710036）
福建省学生创新科研项目(Z80048)和校学生科研项目的资助. （Z80048）
