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

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

doi:10.1007/s41870-023-01358-9

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

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

Year: 2023 Journal: International Journal of Information Technology Vol: 15 (6)Pages: 2987-2993 Publisher: Springer Nature

DOI: 10.1007/s41870-023-01358-9

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Keywords:

Computer science Throughput Cellular network Decision tree Telecommunications link Support vector machine Quality of service Real-time computing Data mining Artificial intelligence Machine learning Computer network Wireless Telecommunications

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Power Line Communications and Noise

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Telecommunications and Broadcasting Technologies

Physical Sciences → Engineering → Media Technology

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

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