RESEARCH ON SITE LOCATION OF 5G BASE STATION BASED ON IMMUNOGENIC ALGORITHM
The construction of 5G base stations is a very important link in the 5G industry chain.For operators,the site selection and planning of base stations will directly affect the signal quality and utilization efficiency of 5G networks.In view of the problem of unrea-sonable base station site planning,this paper considers the characteristics of different base station coverage ranges and network business volumes in different regions,and establishes the 5G base station site optimization model with the optimization objectives of minimum base station construction cost,maximum area coverage and maximum business coverage,and uses the improved NSGA-Ⅱ algorithm to solve the model.The Simulation results show that the proposed algorithm effectively solves the base station location,and has the advan-tages of fast speed,high efficiency,and being less prone to getting stuck in local optima.
5G base stationsite selection planningmulti-objective genetic algorithm
万方数据
维普
