A machine learning based adaptive short beacon activation (SBA) engine is described. The SBA engine provides for activating or suppressing short beacon transmission in a network cell based on total network cell effects in both airtime consumption and network flows as determined by the SBA engine. In some examples the SBA engine utilizes input parameters received from various wireless medium to evaluate the current and near future advantages and/or disadvantages of activating/suppressing short beacons.