IMPROVING THE PERFORMANCE AND IMMUNITY OF WI-FI NETWORKS IN A DENSE RADIO ELECTRONIC ENVIRONMENT

Abstract

The article considers the current problem of ensuring high performance and interference immunity of Wi Fi networks in a dense radio electronic environment, which is typical for modern office centers, educational buildings, residential areas and public places. The growth in the number of wireless devices, increased requirements for data transfer speed, as well as the simultaneous operation of many sources of radio radiation create significant difficulties for the stable functioning of Wi Fi standard networks. Under such conditions, the level of the received signal deteriorates, the probability of errors increases, the data transmission delay increases and the actual channel bandwidth decreases. Of particular difficulty is the mutual influence of wireless systems operating in close frequency ranges. These include not only Wi Fi access points, but also Bluetooth networks, IoT devices, radio modules of automation systems and consumer electronics with active transmitters. As a result, the network environment becomes dynamic and unpredictable, and classic resource allocation schemes lose their effectiveness. This necessitates the improvement of radio channel planning methods, adaptive selection of operating frequencies, transmitter power control, and the use of intelligent traffic optimization algorithms. The relevance of the topic is also due to the transition to new versions of the Wi Fi standard, which are focused on higher connection density, lower latency, and better performance with multiple connections. At the same time, even modern solutions do not always provide sufficient communication quality without taking into account the specific features of the radio electronic environment. Therefore, research aimed at increasing the noise immunity of Wi Fi networks is of not only theoretical but also practical importance for building reliable wireless infrastructures. The article analyzes the main factors affecting the performance of Wi Fi networks in a noisy environment, and identifies effective approaches to minimizing the impact of interference. The results of the study can be used when designing, upgrading, and optimizing wireless networks in difficult operating conditions.