免疫优化算法在农村5G基站选址中的应用

Application of immune optimization algorithm in rural 5G base station siting

针对我国农村地区地形较复杂,山地、丘陵较多,基站选址存在难度大、成本高的问题,提出了一种基于免疫优化算法的基站选址模型。在该模型中,把待求解的选址问题当作抗原,经过免疫优化算法迭代计算,找出亲和度最高的个体,得到问题的解。通过与遗传算法下的的基站选址模型比较,结果表明:基于免疫优化算法的基站选址模型具有一定的实用性和可靠性,能够以较小的成本获得最佳的基站建设位置,拥有较强的全局寻优能力。

A base station siting model based on the immune optimization algorithm is proposed in this paper to deal with the difficulties and high cost of base station siting in rural China due to its complex,mountainous,hilly landform.In this model,the siting problem to be solved is regarded as an antigen,and the individual with the highest affinity is found through iterative calculation by immune optimization algorithm,and then the solution to the problem is obtained.Compared with the base station siting model under genetic algorithm,the simulation results show that the base station siting model based on immune optimization algorithm has more favorable practicability and reliability,which can obtain the best base station construction location with a smaller cost,and has a stronger global optimization ability.