Mobility

Automated Traffic Class Prediction and Prioritization on 802.11 Using Machine Learning

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Executive Summary

With the steady increase of Internet access rates (DSL, LTE, FTTH) and aging local access technologies (802.11) QoS problems are starting to manifest themselves on the inside of SOHo (Small Office/Home) networks. Bandwidth bottlenecks are slowly moving to the inside of the networks and the authors need a solution to solve this problem without investing in other access technologies. Substantial capital investment has been made into some of these (802.11 WiFi Access Points at airports and coffee shops) because of their availability in consumer computer equipment. The solution should be able to solve the problems experienced when dealing with multiple traffic classes from the same node in a single cell.

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