Abstract: A proactive energy-saving processing in an access point (AP) device is described. The AP monitors/computes usage/operating parameters (load factors) of the AP, and based on the obtained parameters, adjusts one or more AP operating parameters to reduce power consumption. The process is proactive in the sense that the current conditions in the AP do not require scaling back AP functionality. Nonetheless, the AP can scale back some functionality to reduce its power consumption, proactively, despite the absence of a need to do so.

Abstract: Systems, methods, and computer-readable media are disclosed for applying quality metrics for resource unit (RU) allocation in connection with a wireless access point (AP). In response to detecting threshold utilization of an AP by multiple wireless clients, an RU score is initialized. For each initialized RU score, an updated RU score is periodically computed. To perform this computation several steps are performed. First, RU quality metrics are received. Next, each quality metric is multiplied by an associated weighting coefficient. Finally, the quality products are summed to provide an updated RU score. In response to determining that a puncture candidate RU has a puncture candidate RU score below a predetermined threshold, one or more RUs are punctured or otherwise de-prioritized. A request to assign new RUs is received. In response to the request to assign the new RUs, the new RUs are assigned based on the periodically updated RU scores.