Abstract

Present techniques dedicate wireless channel resources based on applications that will be used in collaborative meetings. The degree of reservation is determined using machine learning algorithms that have knowledge from a prior history of meetings, participants in the meeting, etc. This ensures that collaborative applications will perform favorably, leading to more effective collaborations. Several novel components are involved in these techniques, which control the network infrastructure, determine the users that need reservation(s), identify the applications that will be used, and also utilize machine learning to model the usage and requirements.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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