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

作　　者：陈东园 刘芬[1] 冯立营 高雪苹 李保胜 刘晓倩 CHEN Dongyuan;LIU Fen;FENG Liying;GAO Xueping;LI Baosheng;LIU Xiaoqian(School of Electronic Engineering,Tianjin University of Technology and Education,Tianjin 300222,China)

机构地区：[1]天津职业技术师范大学电子工程学院,天津300222

出　　处：《天津职业技术师范大学学报》2022年第2期46-49,共4页Journal of Tianjin University of Technology and Education

基　　金：天津市企业科技特派员项目(21YDTPJC00210).

摘　　要：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.

关 键 词：基站选址优化 免疫优化算法(IA) 抗原 个体亲和度 

分 类 号：G642.3[文化科学—高等教育学]