基于波束预测的5G立体覆盖智能优化方法研究

Research on intelligent optimization method of 5G stereo coverage based on beam prediction

为了解决现阶段5G立体覆盖无法精准高效优化的技术难题,有效支撑5G优化工作,本文提出了一种基于波束预测的5G立体覆盖智能优化方法。该方法通过建立波束ID预测模型来预测邻区波束ID,实现用户三维分布精准定位,结合三维电子地图同时关联MR中的覆盖信息实现5G网络立体覆盖呈现。之后预估天线增益变化,以3D射线追踪技术仿真不同波束场景下的路损情况,得到波束调整后网络覆盖水平变化,最终实现5G立体覆盖的迭代寻优和最佳方案输出。

In order to deal with the technical difficulties that 5G stereo coverage cannot be optimized accurately and efficiently at the present stage and effectively support 5G optimization,an intelligent optimization method for 5G stereo coverage based on beam prediction is proposed.In this method,the beam ID prediction model is established to predict the beam ID of the adjacent area,so as to realize the accurate positioning of the three-dimensional distribution of users,and the three-dimensional coverage of 5G network is presented by combining the three-dimensional electronic map with the coverage information in MR.After that,the antenna gain changes are estimated,and the path loss changes under different beam scenarios are simulated by 3D ray tracing technology,so as to obtain the network coverage level changes after beam adjustment.Finally,the iterative optimization of 5G stereo coverage and the optimal output of the scheme are realized.