Multi-network cooperative network optimization and energy saving method and system

Abstract

The invention discloses a multi-network cooperative network optimization and energy saving method and system, and belongs to the field of mobile communications. The method comprises the following steps: computing neighbor cell overlapping coverage of network cells, screening out overlapping coverage neighbor cells of the network cells, and adding the network cells and the overlapping coverage neighbor cells of the network cells as energy saving cells into an energy saving cell list; and determining energy saving time periods of each day, computing predicted traffic of the cells in the list at a next energy saving time period according to history traffic of the energy saving time periods and traffic of a previous time period, determining dormant cells in the energy saving cell list according to the predicted traffic, determining compensation cells of the dormant cells in the energy saving cell list, shutting down the dormant cells, and transferring services on the dormant cells onto other compensation cells. The method and the system support cross-network and cross-equipment-manufacturer multi-network cooperative optimization and energy saving analysis. Compared with the conventional manual optimization, the method and the system have the advantages that a large amount of labor cost can be saved, and the network optimization and energy saving effects are enhanced greatly.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, in particular to a multi-network coordinated network optimization and energy saving method and system. Background technique [0002] Existing mobile communication consists of three wireless networks of 2 / 3 / 4G, and the network coverage and service load of each standard are carried by the cell of the wireless network (Note: the cell also contains multiple carrier frequency resources, Each carrier frequency also contains multiple time slot resources.), this multi-network standard network construction structure inevitably results in overlapping coverage of wireless networks, which to a large extent makes some or two types of networks wireless in some cells. The resource utilization efficiency is very low, to a certain extent, it is a waste of the already tense wireless resources and a waste of power and energy. [0003] In order to reduce the waste of wireless resources and powe...

AI Technical Summary

Problems solved by technology

The automatic energy-saving scheme of the carrier frequency or time slot of the equipment manufacturer is only considered from a single network standard. Due to the competition among equipment manufacturers, the cells of other equipment manufacturers cannot be considered in the same network at the same time. Generally speaking, cross-connection is not supported. The scope of application of the network cross-manufacturer is limited, and the optimization scheme is to switch and control the very limited carrier frequency or time slot in the cell, the operating units are very limited, the network resource optimization and energy saving optimization effect is poor, and it cannot meet the requirements of 2 / 3 / 4G network development optimization and energy saving requirements

The traditional manual network optimization method has low efficiency and long delay. Due to the uneven ability of optimization personnel, the optimization effect is poor and uncontrollable. Moreover, the cost of optimization personnel is high and the cost performance is low. It is the main cost of network maintenance at present.

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