Proposta e avaliação de desempenho de uma arquitetura de hardware e software de medição de sinais wi-fi em ambientes internos

Abstract

In this work, the performance of a hardware and software architecture for measuring Wi-Fi signals indoors was proposed and evaluated. The IEEE 802.11n and 802.11ac standards belonging to the 2.4 GHz and 5 GHz frequency bands, respectively, were used to analyze the APs near the IoT laboratory at UFAM. In this environment, a USRP-2954R was used to capture the Wi-Fi channels in order to identify the reason for the poor quality of network sharing with users. In addition, MATLAB software was used to decode and analyze the signals received. To this end, the data was collected over 3 days and at 3 different times within the IoT laboratory of the Super Project, using the equipment in this laboratory. The data obtained was analyzed and a poor distribution of channels 6 and 11 for the 2.4 GHz frequency and channels 40(38) and 157(155) for the 5 GHz frequency band was noticed. This is because through from the spectrum graphs and spectrogram generated, in addition to the BSSID information of the APs, it was possible to identify in more detail the strong influence of these channels on co-channel interference and also external noise such as walls, trees and even devices that use similar frequencies such as bluetooth headphones and microwave ovens.