In this post we present our work on RRM solution and we present our proposed machine learning (ML) optimization to a general operation of dynamic RRM. Please contact us for any question or report directly to the full text available at: An ML-optimized dRRM Solution for IEEE 802.11 Enterprise Wlan Networks.
We argue that in an enterprise Wifi network, indoor and dense, co-channel interference is a major issue. Hopefully, Wifi controllers help tackle this problem thanks to radio resource management (RRM). RRM which is a fundamental building block of any controller functional architecture. The next figure shows a situation where the wifi controller is into play. Both AP (access points) are associated with the same WLC (located in the datacenter) and provides him with two kinds of important information: 1) the first type of information relates to each AP individual measurement, 2) the second is to the relative AP measurements: for example using the OTA messages to tell what first AP sees via the second AP.
