一种基于人工蜂群和遗传算法的Massive MIMO天线权值优化方法的研究及应用

Research and application of massive Massive MIMO weight optimization method based on artificial bees colony&genetic algorithm

目前Massive MIMO天线权值寻优方法主要采用蜂群算法。该方法存在收敛速度慢和容易陷入局部最优解等问题。因此,本文提出一种基于人工蜂群加遗传算法的组合寻优算法,通过建立新的思路、流程和方法,两种算法互相取长补短,极大提升了计算效率和寻优效果,实现连片区域权值最优解,应用效果良好。

At present,Massive MIMO antenna weight optimization method is mainly based on bee colony algorithm,which has problems such as slow convergence speed and easy to fall into local optimal solution.Therefore,this paper proposes a combined optimization algorithm based on artifi cial bees colony and genetic algorithm.By establishing new ideas,processes and methods,the two algorithms learn from each other and complement each other,greatly improving the computational effi ciency and optimization effect,and realizing the optimal solution of the weight of continuous regions.Through the application of the existing network,the effect is good.