Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts

Dynamic Learning Framework for Smooth-Aided Machine-Learning-Based Backbone Traffic Forecasts

Recently, there has been an increasing need for new applications and services such as big data, blockchains, vehicle-to-everything (V2X), the Internet of things, 5G, and beyond. Therefore, to maintain quality of service (QoS), accurate network resource planning and forecasting are essential steps fo...

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Bibliographic Details
Main Authors: Mohamed Khalafalla Hassan, Sharifah Hafizah Syed Ariffin, N. Effiyana Ghazali, Mutaz Hamad, Mosab Hamdan, Monia Hamdi, Habib Hamam, Suleman Khan
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
traffic forecast
slice
local smoothing
LSTM
dynamic learning
Online Access:https://www.mdpi.com/1424-8220/22/9/3592

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https://www.mdpi.com/1424-8220/22/9/3592

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