User perception based wireless network optimization method and user perception based wireless network optimization system

Abstract

The invention relates to a user perception based wireless network optimization method and a user perception based wireless network optimization system. The user perception based wireless network optimization method includes that user terminal devices acquire signals in the locations of user terminals, perform quality analysis on the signals and send request messages to satellite equipment when signal quality is lower than a set threshold value; the satellite equipment locates the user terminals and sends location information of the user terminals to the corresponding user terminal devices; the user terminal devices send the location information and signal quality parameters of the user terminals to wireless access points; the wireless access points forward the information sent by the user terminal devices to a data analysis platform; the data analysis platform performs storage analysis on the information sent by the wireless access points, analyzes the stored information statistically, judges that one specific wireless access point with problems or access point coverage density in a region is insufficient if the wireless access point is poor in signal quality within a coverage range, and informs network optimization personnel of further troubleshooting the device and the region with problems.

Description

technical field [0001] The present invention relates to the field of wireless networks, and more specifically, to a method and system for optimizing a wireless network based on user perception. Background technique [0002] In the early wireless network planning, the wireless network planning was not very scientific and detailed. After the network planning was completed, there would still be problems such as no signal, dropped calls on mobile phones, or slow network speed. Network optimization to solve. At present, in order to optimize the existing network, operators need to hire professional companies or professional engineers to use test mobile phones or frequency scanners for drive test (Drive Test, DT). Drive test is for GSM, WCDMA, TD-SCDMA, LTE and other wireless networks. The downlink signal, that is, the air interface (Um) of each wireless network is tested, which is mainly used to obtain the signal strength of the serving cell, the voice quality, the signaling proc...

AI Technical Summary

Problems solved by technology

[0003] Due to the large scale of the network, this traditional optimization method cannot achieve real-time detection manually, and the response speed is slow, so the efficiency of network optimization is low.

Secondly, due to the complexity of the network, when hidden dangers and failures occur, the traditional network optimization method cannot monitor the network in real time and comprehensively. The method of manually optimizing the network is inefficient and has too many subjective factors

Again, due to the complex network environment, the network optimization workload is very heavy, requiring a large number of network optimization technicians and expensive equipment

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