通过大数据分析,在当前LTE网络中进行网络问题定位、优化方案准确制定。通过合理构建模型,用遗传算法与BP神经网络的方式,对现网多源数据准确提取,加入标签,通过汇聚,以流程化、自动化的方式进行数据共享和大数据分析,分析网络中存在的拥塞、掉话、质差等问题的原因,并提出优化建议。 Through big data analysis, network problems are located in the current LTE network, and the optimization plan is accurately formulated. By reasonably constructing the model and using genetic algorithm and BP neural network, the multi-source data in the live network can be accurately extracted and tagged, and the data sharing and big data analysis can be done in a streamlined and automated way through aggregation. Congestion, dropped calls, poor quality and other issues, and put forward suggestions for optimization.