Downlink throughput prediction using machine learning models on 4G-LTE networks

Author:

Al-Thaedan AbbasORCID,Shakir Zaenab,Mjhool Ahmed Yaseen,Alsabah Ruaa,Al-Sabbagh Ali,Salah Monera,Zec Josko

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference30 articles.

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2. Abou-Zeid H, Hassanein HS, Valentin S (2014) Energy-efficient adaptive video transmission: exploiting rate predictions in wireless networks. IEEE Trans Veh Technol 63(5):2013–2026

3. Shakir Z, Al-Thaedan A, Alsabah R, Al-Sabbagh A, Salah MEM, Zec J (2022) Performance evaluation for RF propagation models based on data measurement for LTE networks. Int J Inf Technol 14:2423–2428

4. Rajarajeswarie B, Sandanalakshmi R (2022) Machine learning based hybrid precoder with user scheduling technique for maximizing sum rate in downlink mu-mimo system. Int J Inf Technol 14:23–2405

5. Eyceyurt E, Egi Y, Zec J (2022) Machine-learning-based uplink throughput prediction from physical layer measurements. Electronics 11(8):1227

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