Method, device and system for dynamically managing cell data

Abstract

The invention discloses a method, a device and a system for dynamically managing cell data. The method for dynamically managing the cell data comprises the following steps: individual parameters of a base station are configured on an individual parameter server; meanwhile, the configuration of the parameters adopted by the base station is completed in an operation and maintenance center-radio; when the base station is accessed, the working frequency point scanning range and the adjacent cell frequency scanning range of the base station are issued through the individual parameter server, and the base station is used for reporting the scanning result to a base station controller; the base station controller is used for selecting the working frequency point and the adjacent cell frequency suitable for the base station according to the reported scanning result and obtaining other individual parameters; and resources are distributed for the base station according to the selected working frequency point and adjacent cell frequency suitable for the base station as well as the global resource parameters, and then the selected working frequency point and adjacent cell frequency, the template parameters, other individual parameters and the distributed resources are issued. Through the adoption of the method, the device and the system, not only manpower is saved, cost is reduced, and the utilization ratio of resources is improved, but also the management efficiency of the base station is improved.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a method, device and system for dynamically managing cell data. Background technique [0002] With the development of society, people's quality of life is constantly improving, especially in today's continuous development of the communication industry, people's requirements for the network are also getting higher and higher. However, with the acceleration of urban construction and the increasing density of urban buildings, the traditional macro-cellular network coverage method has exposed many disadvantages, such as underground garages, tunnels, offices, etc. Calls and other phenomena bring a lot of inconvenience to users' communication and life, so the complaint rate of users is also getting higher and higher. In order to provide users with a better communication environment and solve the current network coverage problem, the picocell was born. The coverage of the picocell i...

AI Technical Summary

Problems solved by technology

[0003] 1. The accuracy of manual configuration parameters is not high;

[0004] 2. The installation time and location of pico base stations are relatively random, which increases the difficulty of network planning;

[0005] 3. Some global parameters commonly used by all pico base stations must be manually configured for each base station one by one, and the repetitive workload is heavy;

[0006] 4. The traditional base station parameter configuration is manually configured on the wireless operation and maintenance center (Operation&Maintenance Center for Radio, OMCR), and the management and maintenance workload of the base station data is too large;

[0007] 5. The parameters of the base station are all statically configured. A base station corresponds to a fixed set of parameters. The system cannot automatically detect the decommissioning of the base station, let alone automatically recover the resources of the decommissioning base station, so the resource utilization rate is not high;

[0008] 6. Once the resources in the system fail, the system cannot be adjusted automatically, and can only be re-planned manually, which requires heavy workload and high difficulty

[0009] At present, some improved methods have been proposed in the industry, all of which have improved the management efficiency of pico base stations to a certain extent and reduced the manual workload. There are a lot of duplication of labor for some characteristics of these methods; secondly, the implementation of these methods does not improve the utilization rate of resources, and the management of resources still requires manual participation, and still faces the problems of heavy configuration workload and difficult management and maintenance

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