Method and system for balancing distributed load in LTE (Long Term Evolution) access network

Abstract

The invention discloses a method and system for balancing a distributed load in an LTE (Long Term Evolution) access network, belonging to the technical field of wireless communication. The method comprises the following steps of: (S1) acquiring load information of a cell and an adjacent cell of the cell; (S2) judging loads of the cell and the adjacent cell, if the loads are judged to be normal loads, continuing to execute the step (S1), if the loads are judged to be overloads, executing the step (S3), and if the loads are judged to be high loads, executing the step (S4), wherein the overload state is that the loads are greater than or equal to a second threshold value; the high load state is that the loads are greater than or equal to a third threshold value and small than or equal to the second threshold value; and the normal load state is that the loads are smaller than the first threshold value; (S3) executing the load balancing process; and (S4) executing the load balancing preparation process. According to the method and the system, the load unbalance phenomenon in the network can be found in real time, and automatic distributed load balance can be realized.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a distributed load balancing method and system for an LTE access network. Background technique [0002] With the rapid development of network and communication technologies, the development of wireless access networks presents a large-scale, open, heterogeneous, and dynamic trend. Not only is it time-consuming and error-prone to set up and configure wireless access The high-level business goals, external environment, and user needs in the post-system may change continuously, and there are higher requirements for the system's ability to dynamically adapt to these changes, such as dynamic allocation of resources, dynamic synthesis of services, and dynamic correction of system parameters. Wait. At present, only relying on network managers to configure, diagnose, repair and reconfigure the system according to the system status and high-level management strategies, not...

AI Technical Summary

Problems solved by technology

[0011] The defect of the above-mentioned first patent is: what this invention describes is a management method for a network that already has autonomous management capabilities, that is, when the network has the ability to self-manage itself, how to decide whether to manage it autonomously or Managed by administrators, but does not explain how the network is capable of self-management

[0012] The defect of the above-mentioned second patent is: the invention describes a load balancing method for a wireless local area network that cannot adapt to the characteristics of an LTE wireless network

In addition, this solution is to achieve load balancing by allocating switching quotas from wireless access points with small loads to wireless access points with heavy loads, instead of switching according to the actual needs of heavy-loaded cells, which cannot actually meet the needs of heavily-loaded cells

[0013] The defect of the above-mentioned third patent is that the invention adjusts the handover parameters by measuring the delay time of the handover process of the terminal, without considering the load conditions of the own cell and the adjacent cell

[0014] The defect of the above-mentioned fourth patent is: the invention is to adjust the switching parameters of two adjacent cells (one with heavy load and one with light load) to achieve load balancing, but on the one hand, it does not specify how to select which users to switch; on the other hand On the one hand, this method does not accurately switch according to the load of the overloaded cell

[0015] The defect of the above-mentioned fifth patent is that the invention only performs load balancing for the access congestion that may be caused by too many idle terminals, and does not consider the traffic overload caused by the terminals in the connected state

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