1. A radio network management system, having at least one centralized node, the at least one centralized node comprising: a radio transceiver having a plurality of adjustable parameters; a plurality of adaptive tuning engines configured to make changes to the adjustable parameters, the plurality of adaptive tuning engines including a terrain-aware topology tuning engine; a weighted analysis engine configured to provide a weighted analysis based on the outputs of the adaptive tuning engines, the weighted analysis prioritizing the adaptive tuning engines based on relative importance of the adaptive tuning engines; and a cognitive learning engine configured to provide feedback to make optimally directed adjustments to the plurality of adaptive tuning engines, wherein the cognitive learning engine is configured for providing feedback to the terrain-aware topology tuning engine based on terrain information for allowing the system to predict link disruptions based on said terrain information, the cognitive learning engine including a situation aware cognitive application model, the situation aware cognitive application model being configured for initiating a bandwidth shaping application for filtering unconnected traffic to the node from using specified resources in a specified geographic location.