Techniques are described herein for optimizing access point transmissions. According to these techniques, configuration, state, and tuning of an access point transmission scheduler are externalized to a network core (e.g., a wireless LAN controller (WLC) or Dynamic Network Access Control (DNAC)) and a machine-learning system is used to classify wireless clients based on traffic analysis. The described techniques permit the use of fine-tuned configurations for each access point station and these configurations can be shared across all access points in the case of roaming.
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Cuissard, Vincent; Choukir, Amine; Ficara, Domenico; and Valenza, Salvatore, "ACCESS POINT TRANSMISSION OPTIMIZATIONS USING MACHINE LEARNING BASED TRAFFIC CLASSIFICATION", Technical Disclosure Commons, (December 10, 2018)