The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 09, 2022

Filed:

Dec. 03, 2018
Applicant:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Inventors:

Jung-yeol Oh, Sejong-si, KR;

Kyeong Hwan Doo, Daejeon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04Q 11/00 (2006.01); H04B 10/27 (2013.01); H04B 10/079 (2013.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); H04L 41/5022 (2022.01); H04L 47/80 (2022.01); H04L 47/6275 (2022.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
H04Q 11/0067 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); H04B 10/0795 (2013.01); H04B 10/27 (2013.01); H04L 41/5022 (2013.01); H04L 47/6275 (2013.01); H04L 47/808 (2013.01); G06N 3/04 (2013.01); G06N 3/084 (2013.01); H04Q 2011/0084 (2013.01); H04Q 2011/0086 (2013.01); H04Q 2213/056 (2013.01);
Abstract

A method and apparatus for allocating a bandwidth based on machine learning in a passive optical network, the method including generating an inference model to predict a consumed bandwidth required for transmission by learning unstructured data of a PON including an OLT and traffic data corresponding to state information of the PON collected from the PON, predicting a consumed bandwidth with respect to a queue corresponding to a class requiring a low-latency service among classes of ONUS connected to the OLT based on the generated inference model, performing a VBA with respect to the queue corresponding to the class requiring the low-latency service based on the predicted consumed bandwidth, and performing a DBA with respect to a queue corresponding to a class not requiring the low-latency service using a transmission bandwidth which remains after the VBA is performed.


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