基于果蝇优化算法的5G网络基站选址研究

Research on 5G network base station site selection based on fruit fly optimization algorithm

为解决5G网络基站选址未考虑建筑物的空间分布规律,使得基站选址效果不理想,导致基站覆盖范围较小的问题,提出了基于果蝇优化算法的5G网络基站选址研究方法。计算前线基站到圆形覆盖中心的距离,利用卫星通信设备对回传信号定位,得到后方基站的可选位置区域。计算数据接收、发送和聚合能耗,在蜂窝单元均衡分配的前提下,保证基站数据负载平衡。构建基站选址双层位置模型,设定约束条件,确定基站最佳位置。利用果蝇优化算法更新位置,经过个体更新迭代处理,避免陷入局部最优,获取精细的基站选址位置。由实验结果可知,该方法前线、后方基站损耗最小分别为50 dB、70 dB,基站覆盖范围半径为6 km,与理想基站覆盖范围一致。

Faced with the fact that the spatial distribution of buildings is not considered in the location of 5G network base stations,which makes the base station site selection effect unsatisfactory and leads to the problem of small coverage of base stations,a research method for 5G network base station site selection based on fruit fly optimization algorithm was proposed.The distance from the front line base station to the circular coverage center was calculated,and the satellite communication equipment was used to locate the return signal to obtain the optional position area of the rear base station.The energy consumption of data reception,transmission and aggregation were calculated,and the load balancing of base station data was ensured under the premise of balanced distribution of cellular units.A two-layer location model for base station site selection was built,constraints were set,and the optimal location of base station was determined.The fruit fly optimization algorithm was used to update the position,and after individual update iterative processing,it was not to fall into local optimization and obtain the fine base station site selection position.It can be seen from the experimental results that the minimum losses of the front line and rear base stations in this method are 50 dB and 70 dB,respectively,and the coverage radius of the base station is 6 km,which is consistent with the coverage of the ideal base station.