Attai Ibrahim Abubakar
Orcid: 0000-0002-3288-4950
According to our database1,
Attai Ibrahim Abubakar authored at least 19 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
Machine Learning for the Internet of Underwater Things: From Fundamentals to Implementation.
CoRR, March, 2026
2025
A Secured Energy Saving With Federated Assisted Modified Actor-Critic Framework for 6G Networks.
IEEE Trans. Veh. Technol., June, 2025
Energy-Saving in 5G Open Radio Access Network with Deep Q-Learning Sleep Mode Control.
Proceedings of the 36th IEEE International Symposium on Personal, 2025
2023
Coverage and throughput analysis of an energy efficient UAV base station positioning scheme.
Comput. Networks, August, 2023
FAMAC: A Federated Assisted Modified Actor-Critic Framework for Secured Energy Saving in 5G and Beyond Networks.
CoRR, 2023
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
2022
A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks.
Phys. Commun., 2022
How Reinforcement Learning is Helping to Solve Internet-of-Underwater-Things Problems.
IEEE Internet Things Mag., 2022
Context-Aware Wireless Connectivity and Processing Unit Optimization for IoT Networks.
IEEE Internet Things J., 2022
A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches.
CoRR, 2022
IEEE Access, 2022
2021
Energy Optimization in Ultra-Dense Radio Access Networks via Traffic-Aware Cell Switching.
IEEE Trans. Green Commun. Netw., 2021
Frontiers Commun. Networks, 2021
IEEE Access, 2021
2020
Phys. Commun., 2020
The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook.
Frontiers Commun. Networks, 2020
Load-Aware Cell Switching in Ultra-Dense Networks: An Artificial Neural Network Approach.
Proceedings of the 2020 International Conference on UK-China Emerging Technologies, 2020
2019
Spectrum Cost Optimization for Cognitive Radio Transmission over TV White Spaces using Artificial Neural Networks.
Proceedings of the UK/China Emerging Technologies, 2019
Q-Learning Assisted Energy-Aware Traffic Offloading and Cell Switching in Heterogeneous Networks.
Proceedings of the 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2019