Indoor Wi-Fi quality assessment equipment and method

Abstract

The invention relates to the field of wireless communication and discloses indoor Wi-Fi quality assessment equipment and method. The equipment comprises an antenna and a processor, wherein the processor is configured to receive wireless communication data and determine a modulation and coding scheme (MCS) used by wireless communication; the processor is further configured to estimate a downlink rate capable of being reached by target equipment close to the equipment based on the determined MCS, wherein the target equipment and the equipment have the same demodulation type and coding speed. With the adoption of the technical scheme, the target equipment and the equipment have the same demodulation type and coding speed, so that the downlink rate capable of being reached by the target equipment close to the equipment can be estimated by utilizing the determined MCS of the equipment.

Description

technical field [0001] The present invention relates to the field of wireless communication, in particular to an indoor Wi-Fi quality evaluation device and method. Background technique [0002] The electromagnetic wave signal used by the Wi-Fi network attenuates with the transmission distance. The farther away, the weaker the signal. Wi-Fi signals also cause additional attenuation when penetrating indoor objects such as walls and furniture. In addition, since Wi-Fi uses public frequency bands, it may be interfered by other devices on the channel during use. Electromagnetic waves themselves also have fluctuations brought about by time changes. The signal-to-noise ratio, that is, the signal-to-noise power ratio, is adopted in information theory as one of the core indicators for evaluating channel quality. For different signal-to-noise ratios, different signal modulation and coding schemes (MCS for short) need to be applied. ) to ensure the success rate of signal analysis. ...

AI Technical Summary

Problems solved by technology

[0008] 1. The Wi-Fi strength indicator icons on mobile phones and tablets are only given according to the received signal strength and manufacturer-defined rules, and do not reflect the actual user experience;

[0009] 2. By installing App to measure Wi-Fi upload and download rate, continuous monitoring and multi-point monitoring cannot be achieved;

[0011] 4. It does not provide users with intuitive network quality (status, fault) information and network fault alarms

[0012] For the above problems, there is no good solution in the prior art

Images