Aiming at the problem of the decrease of network investment efficiency and resource utilization caused by the idle cells in the 4 G multi-frequency network

an intelligent unpacking optimization scheme is proposed based on big data platform. First

the idle cell is defined by PRB utilization at the busy time

the total user traffic of the PDCP layer at the busy time and the average number of RRC connected users at the busy time. Then the big data platform is utilized for the analysis of cell load

coverage demand and capacity demand. In addition

power divider

splitting and repeater are jointly exploited to intelligently select the best optimization scheme. Under the premise of ensuring user perception

the proposed scheme revitalizes the live network resources

saves the construction cost and labor cost

improves the investment efficiency and resource utilization rate

and enhances the coverage of blind area and the busy area of hot spot.