AI-Enhanced Radio Resource Management (AI-RRM) is a technology that utilizes artificial intelligence to optimize wireless network performance. It analyzes historical data over a period of two to six weeks, rather than just the last 10 to 15 minutes, to make informed decisions about channel planning and resource allocation. This approach helps in maintaining network stability and reliability, especially in high-density environments where user expectations for Wi-Fi performance are high.

Implementing AI-RRM can significantly enhance network operations by reducing channel changes during busy hours, which can lead to a 99% reduction in disruptions. This is particularly beneficial for industries like healthcare and logistics, where consistent connectivity is crucial. Additionally, AI-RRM provides insights for optimizing RF profiles across multiple locations, reducing the need for manual adjustments and improving overall network efficiency.

Historical data plays a critical role in AI-RRM by allowing the system to analyze trends and predict future network conditions. By looking back at data from the past two to six weeks, AI-RRM can identify potential issues and optimize channel assignments proactively. This enables the network to adapt to changing conditions and maintain optimal performance, ensuring a better user experience in environments with high user density.