Load-based automatic optimization method for LTE neighbor cell parameters

Abstract

The invention discloses a load-based automatic optimization method for LTE neighbor cell parameters which belongs to the technical field of mobile communication. The optimization method comprises: collecting wireless performance indexes of to-be-optimized LTE cells to acquire high load cells needing to be handled; synchronizing key parameters of the cells; screening corresponding low traffic load balancing target cells from neighbor cells of the high load cells and outputting a list of traffic balancing target cells; determining the cell of the lowest resource utilization ratio as a traffic balancing target cell; and automatically carrying out an adjustment on the output parameters of the traffic balancing target cell or the high load cells to complete transposition of the traffic. According to the method, automatic optimization of neighbor cell parameters of the LTE cells is realized and awareness of the cells is improved efficiently based on real-time performance data. Compared with a manual optimization method, the method brings a substantial improvement in optimization efficiency and optimization effect of resource utilization ratios as well as user numbers and throughput indexes of the cells and also meets application requirement of users better.

Description

Technical field [0001] The invention belongs to the technical field of mobile communication, and specifically relates to a load-based method for automatically optimizing LTE neighboring cell parameters. Background technique [0002] With the development of LTE networks and the rapid and gradual increase of 4G users, the load of cells in hotspots has gradually increased. The uneven distribution of users has caused high load in some cells. The uniform coverage of cells in hotspots and single carrier can no longer guarantee the needs of users. , Inter-cell coverage expansion and dual-carrier deployment are increasingly important. Currently, coverage adjustment, parameter optimization, load balancing, resource expansion and other methods need to be deployed in hotspots to increase network capacity. [0003] The existing LTE load optimization strategy is mainly based on parameter planning and hardware adjustment, which requires a long period and a large number of optimizers, and cannot...

AI Technical Summary

Problems solved by technology

[0003] The existing LTE load optimization strategy is mainly based on parameter planning and hardware adjustment, which requires a long cycle and a large number of optimization personnel, and cannot monitor the service load of the network in real time, resulting in high service load and low user rate in some cells in local areas. Seriously affect network quality

Moreover, manual network adjustments are far behind the changing speed of emergencies, seriously affecting user perception

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