모바일 네트워크를 수용하는 광액세스 네트워크의 기계학습 기반 가변 대역폭 할당 방법
오정열, 이한협, 두경환, 정환석
- 11412317 (2022.08.09)
18HH2200, SDN 기반 유무선 액세스 통합 광네트워킹 기술,
- 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 제안 키워드
- Low latency, Optical network, Passive optical network, State information, Unstructured Data, inference model, machine Learning, traffic data, transmission bandwidth