most citedForecasting Loss of Signal in Optical Networks with Machine Learning

11 citations

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cs.NI2024★ 14 cited

ML KPI Prediction in 5G and B5G Networks

Nguyen Phuc Tran, Oscar Delgado, Brigitte Jaumard +1

Network operators are facing new challenges when meeting the needs of their customers. The challenges arise due to the rise of new services, such as HD video streaming, IoT, autono…

cs.NI2022★ 11 cited

Forecasting Loss of Signal in Optical Networks with Machine Learning

Wenjie Du, David Cote, Chris Barber +1

Loss of Signal (LOS) represents a significant cost for operators of optical networks. By studying large sets of real-world Performance Monitoring (PM) data collected from six inter…

cs.NI2021

Dynamic CU-DU Selection for Resource Allocation in O-RAN Using Actor-Critic Learning

Shahram Mollahasani, Melike Erol-Kantarci, Rodney Wilson

Recently, there has been tremendous efforts by network operators and equipment vendors to adopt intelligence and openness in the next generation radio access network (RAN). The goa…