Machine learning based packet service classification methods for experience-centric cellular scheduling
Abstract:
Methods and apparatus for classifying a traffic packet service of a traffic flow to a client device, a state and/or video resolution of a streaming video player in a client device. The apparatus includes a memory, and a communication interface configured to obtain TCP/IP or UDP/IP headers of packets to a client device, at least one processor operably connected to the memory, the at least one processor configured to detect a start of a traffic flow, and buffer a first number of packets for the traffic flow, extract features from UDP/IP or TCP/IP headers of a second number of packets belonging to the detected traffic flow, and obtain a flow service classifier for classifying a service type of the traffic flow, and classify the service type of the traffic flow by applying the extracted features to the flow service classifier.
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