Getaneh Berie Tarekegn

Orcid: 0000-0002-5501-9871

According to our database1, Getaneh Berie Tarekegn authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimizing the Deployment of an Aerial Base Station and the Phase-Shift of a Ground Reconfigurable Intelligent Surface for Wireless Communication Systems Using Deep Reinforcement Learning.
Inf., July, 2024

2023
Deep Learning-Based Link Quality Estimation for RIS-Assisted UAV-Enabled Wireless Communications System.
Sensors, October, 2023

2022
Deep-Reinforcement-Learning-Based Drone Base Station Deployment for Wireless Communication Services.
IEEE Internet Things J., 2022

Computational Forecast of PM2.5 Pollution Based on Gas Emission and Traffic Volume Observations.
Proceedings of the 5th IEEE International Conference on Knowledge Innovation and Invention, 2022

2021
D<sub>FOPS</sub>: Deep-Learning-Based Fingerprinting Outdoor Positioning Scheme in Hybrid Networks.
IEEE Internet Things J., 2021

Channel Quality Estimation in 3D Drone Base Station for Future Wireless Network.
Proceedings of the 30th Wireless and Optical Communications Conference, 2021

Radio Resource Allocation for 5G Networks Using Deep Reinforcement Learning.
Proceedings of the 30th Wireless and Optical Communications Conference, 2021

2020
Hybrid deep learning-based throughput analysis for UAV-assisted cellular networks.
IET Commun., 2020

2019
UAV Positioning for Throughput Maximization Using Deep Learning Approaches.
Sensors, 2019

Applying Long Short-Term Memory (LSTM) Mechanisms for Fingerprinting Outdoor Positioning in Hybrid Networks.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Deep Learning-Based Throughput Estimation for UAV-Assisted Network.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018
An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms.
J. Sensors, 2018

Indoor localization using K-nearest neighbor and artificial neural network back propagation algorithms.
Proceedings of the 27th Wireless and Optical Communication Conference, 2018


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