Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
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)
https://www.tdcommons.org/dpubs_series/1767