Self-adapted adjustment system and its method for GSM network intelligent cell

Abstract

The invention provides a system capable of realizing intelligent self-adapting regulation on GSM network parameters via software according to change of mobile communication network business. By establishing the system, parameters switching between cells, ratio of half rates of different cells, configuration of cell signaling channel, and configuration of GPRS signaling channel can be automatically regulated the make the GSM network have 'breath effect' when cell load (sound, signaling, and data) is increased. If failure occurs in a cell, the system can automatically find and processing the failure and all the regulations provide WEB enquiry and correlation analysis, therefore intelligent and automatic management of the cells is realized to achieve win-win of network capacity and service quality to more effectively support management of the network. With the system, economic effectiveness increased by more than ten millions can be achieved.

Description

technical field [0001] The present invention relates to a real-time intelligent self-adaptive adjustment system for GSM network, especially a system suitable for real-time monitoring of network resources in the communication industry, real-time intelligent adjustment, real-time processing of faults and early warning analysis, and correlative analysis of early warning information and release to WEB server Network intelligent management system. Background technique [0002] With the continuous expansion of network scale and business scale, the contradiction between network resources and customer needs is becoming more and more intensified. In order to achieve differentiated services for different customers and different regions under the premise of ensuring stable network quality throughout the network, it is necessary to concentrate resources on important customers and customers. Important places provide better network services than ordinary users, creating a high-quality net...

AI Technical Summary

Problems solved by technology

[0005] 1. The real-time performance is poor, and many network problems can only be found after complaints or after reading the indicators manually;

[0006] 2. The work efficiency is low. When adjustments are required, manual calculation and judgment are required to find and solve problems;

[0007] 3. The time delay is large, and it is impossible to adjust the network parameters in real time and intelligently according to the network traffic in real time.

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