Registered
METHOD AND APPARATUS FOR ALLOCATING BANDWIDTH BASED ON MACHINE LEARNING IN PASSIVE OPTICAL NETWORK
- Inventors
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Oh Jung-Yeol, Chung Hwan Seok, Lee Han Hyub, Doo Kyeong Hwan
- Application No.
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16207300 (2018.12.03)
- Publication No.
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20200092622 (2020.03.19)
- Registration No.
- 11412317 (2022.08.09)
- Country
- UNITED STATES
- Project Code
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18HH2200, SDN based Wired and wireless converged optical Access Networking,
Chung Hwan Seok
- 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.
- KSP Keywords
- Low latency, Optical network, Passive optical network, State information, Unstructured Data, inference model, machine Learning, traffic data, transmission bandwidth
- Family
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