Network optimization system for collecting signalling based on terminal baseband chip

Abstract

The invention relates to a network optimization system for collecting signalling based on a terminal baseband chip. The wireless signaling of an intelligent terminal is used as a sample of collected data, a wireless protocol extraction interface is designed and added to a conventional intelligent terminal, an Agent is added to an operating system to manage and extract signaling parameters, a signaling data packet is uploaded by using a communication module, meanwhile the signaling parameters are analyzed by using a network model, and finally display, analysis and diagnosis are performed by using big data analysis and other technologies. The problems of abnormal signaling data report, protocol analysis, network problem prediction and network optimization model establishment of the intelligent terminal are mainly solved, and a faster and more accurate intelligent diagnosis system is provided for wireless network optimization. Meanwhile, the big data analysis of the wireless signaling parameters is conducive to establishing a behavior model of the terminal and a device state of the network side, thereby providing an optimal network configuration scheme within a certain spatial range.

Description

technical field [0001] The invention relates to the fields of intelligent terminal products, signaling analysis, and big data analysis, and in particular to a network optimization system for collecting signaling based on a terminal baseband chip. Background technique [0002] The existing network optimization technology has the following shortcomings: [0003] 1. When the wireless network is abnormal, ordinary terminals cannot locate the detailed cause, and general network optimization information collection requires dedicated drive test terminals and packet capture tools. [0004] 2. The timeliness experience is not good: the road test generally adopts the method of regular inspection, and the problem is not reported in time, and it will be reported and dealt with after a period of time. Especially when 5G is approaching, and the Internet of Things, Industrial Internet and other industrial control fields are widely used, the real-time performance of traditional network opt...

AI Technical Summary

Problems solved by technology

[0003] 1. When the wireless network is abnormal, ordinary terminals cannot locate the detailed reasons, and general network optimization information collection requires dedicated drive test terminals and packet capture tools

[0004] 2. The timeliness experience is not good: the road test generally adopts the method of regular inspection, and the problem is not reported in time, and it will be reported and dealt with after a period of time

Especially when 5G is coming, and the Internet of Things, Industrial Internet and other industrial control fields are widely used, the real-time performance of traditional network optimization services cannot meet the requirements.

[0005] 3. Huge labor costs: Due to the purposeless and regular full network coverage and road testing, a lot of manpower and financial resources need to be invested

[0006] 4. Unable to give early warning of problems: the existing network optimization process is to first discover problems and then solve problems. Only when problems occur can they be detected, and the timeliness of solving problems is poor

[0007] 5. The data is fragmented and cannot provide a global network configuration solution

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