Network intelligent equalization method and device based on LTE service type characteristics

Abstract

The embodiment of the present invention discloses a network intelligent balancing method and device based on LTE service type characteristics, which can improve the utilization efficiency of overall network resources and improve the accuracy of load balancing based on global resources. The method includes: calculating the average RB resource occupancy and the average duration of various user services in each cell in the LTE network based on the existing XDR data in each adjustment period, and marking the service types of the various user services in each cell as Large-traffic business or small-traffic business; based on the average RB resource occupancy, the average duration, and the marking results of the service types of various user services in each cell, obtain the simultaneous online RBs required to carry various user services in each cell The peak value data of the resource; obtain the performance feedback result of the previous adjustment cycle, and perform network load balancing adjustment on each cell based on the performance feedback result and the peak value data.

Description

technical field [0001] Embodiments of the present invention relate to the field of mobile communication LTE (Long Term Evolution, Long Term Evolution) wireless networks, and in particular to a network intelligent equalization method and device based on LTE service type characteristics. Background technique [0002] In order to provide corresponding wireless resources for various services of mobile communication users, the LTE network realizes seamless network coverage through outdoor base stations and indoor micro-cells. During the moving process of the user, the user terminal selects the serving cell according to the level of the primary serving cell occupied by the user and the level of adjacent cells. In the same cell, if there are a large number of users and the user services are focused on high-speed services, there will be a problem that the existing cell wireless resources cannot meet the user access requirements and wireless service bearer requirements, and the user ...

AI Technical Summary

Problems solved by technology

This solution has an obvious delay in network optimization and adjustment, and cannot meet the needs of rapid changes in users and service types in the existing network coverage area; this solution also has extensive network adjustment solutions, and cannot occupy resources from various services. As a result, the accuracy of load balancing based on global resources cannot be improved after the adjustment, that is, the way the current equipment performs network load balancing adjustment according to the existing scheme has great limitations. It is impossible to allocate network resources according to the actual needs of users, and it is also impossible to achieve precise adjustment of cell coverage to improve user access performance and service perception rate

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