Intelligent Mobile Communication Network Plan for 5G Based on Insight Big Data

Abstract

Traditional mobile communication network plan depends on simple data analysis and manual judgment, which is easily influenced by the personal experience and ability. To fully use the data and avoid manual error, intelligent plan becomes the trend. The paper proposes an intelligent mobile communication network plan method with insight big data. With call record, personal position and measurement report data, machine learning method is adopted to design the network. From the collected data, it can be summarized into 7 dimensional insight big data, including service coverage rate, communication capacity, business income, complaint hot topics, user distribution and occupancy rate. With the final target, mobile sensitive algorithm, LSTM based call traffic prediction and suppressed traffic recognition, accurate site planning, XGBoost based 5G user profile and other methods are adopted. It has been successfully applied in the 5G communication network plan of Shandong Unicom. 2466 5G stations have been established and the efficiency has been increased significantly.