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Patent Searching and Data


Title:
MACHINE LEARNING BASED PACKET SERVICE CLASSIFICATION METHODS FOR EXPERIENCE-CENTRIC CELLULAR SCHEDULING
Document Type and Number:
WIPO Patent Application WO/2019/245327
Kind Code:
A1
Abstract:
The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. And 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.

Inventors:
HENG YUQIANG (US)
ZHANG JIANZHONG (US)
CHANDRASEKHAR VIKRAM (US)
Application Number:
PCT/KR2019/007513
Publication Date:
December 26, 2019
Filing Date:
June 21, 2019
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
H04L12/851; G06N20/00; H04L12/801; H04L29/06
Foreign References:
US20140064080A12014-03-06
US20120008499A12012-01-12
US20140317241A12014-10-23
US20180152467A12018-05-31
US20150146778A12015-05-28
EP2891273A12015-07-08
Other References:
DIMITRIOS TSILIMANTOS ET AL.: "Classifying flows and buffer state for YouTube's HTTP adaptive streaming service in mobile networks", 1 March 2018, CORNELL UNIVERSITY LIBRARY, pages: 14853
See also references of EP 3777058A4
Attorney, Agent or Firm:
YOON & LEE INTERNATIONAL PATENT & LAW FIRM (KR)
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