Network quality segmented quantification evaluation method and system

Abstract

The invention provides a network quality segmented quantification evaluation method and system. The method includes: selecting APs to be evaluated and five sources of target information; accessing the five sources of target information through the APs to be evaluated, performing a service test, and recording related parameters; calculating service perception scores according to a formula WLAN-MOS=5-(alpha*Id-DNS+beta*Id-TCP+gamma*Id-mp-HTTp+delta*Id-object+eta*IJitter+lambda*Ie)+delta; and comparing the service perception scores corresponding to the five sources of target information, and performing segmented quantification of network quality. Compared with the prior art, the network quality segmented quantification evaluation method in the invention can directly, comprehensively, and accurately discover network quality and perception condition of a WLAN, define specific range of short boards that affect network quality of the WLAN, and locate the positions of the short boards.

Description

technical field [0001] The invention relates to the technical field of wireless network quality evaluation, in particular to a method and system for network quality segmental quantitative evaluation. Background technique [0002] With the development of wireless communication technology, WLAN (Wireless Local Area Networks, wireless local area network) technology has been widely used. However, the WLAN network has problems such as the use of public frequency bands, few available frequency points, and user behavior that have a great impact on network quality. At the same time, problems such as equipment, authentication, routing topology, and interconnection will directly affect user service perception. The interaction of the above factors leads to the common situation that the quality of WLAN networks is difficult to evaluate, the indicators are good but users complain constantly, and it is not known which network element the network quality problem occurs in. [0003] At pre...

AI Technical Summary

Problems solved by technology

[0013] Factors such as the number of users under the AP to be tested and the types of user services have a great impact on the quality of the WLAN network, and the existing two types of technical solutions cannot effectively eliminate user factors;

[0014] Existing technical solutions evaluate WLAN network quality by comparing performance indicators. This evaluation result does not directly reflect network quality, nor can it locate quality shortcomings.

[0015] Existing technical solutions cannot achieve reasonable and intuitive multi-operator network quality comparison

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