Research and application of 5G eMBB network rate improvement based on urbans scenarios

Clustering analysis was performed on the ergodic test data of the 5G eMBB network in the city. The entire urban network was divided into different scenarios. The key factors that affect the rate in different scenarios were studied through mathematical modeling, and the key points of performance improvement of each cell were determined based on the related factors. Through targeted optimization, 5G eMBB network speed can be significantly improved. This study provides a direction for the rapid improvement of the speed of urban 5G eMBB network after deployment, and has a certain guiding significance for improving user perception. At the same time, the clustering based analysis and optimization method proposed can also be applied to uRLLC and m MTC scenarios under 5G SA network in the future.