Dynamic learning framework for smooth-aided machine-learning-based backbone traffic forecasts

• Main Authors: Hassan, Mohamed Khalafalla, Syed Ariffin, Sharifah Hafizah, Ghazali, N. Effiyana, Hamad, Mutaz, Hamdan, Mosab, Hamdi, Monia, Hamam, Habib, Suleman Khan, Suleman Khan
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104017/1/NurzalEffiyanaGhazali2022_DynamicLearningFrameworkforSmoothAided.pdf; http://eprints.utm.my/104017/; http://dx.doi.org/10.3390/s22093592

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...