Michael S. Mollel

Orcid: 0000-0002-1358-3685

According to our database1, Michael S. Mollel authored at least 17 papers between 2019 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
A Secured Energy Saving With Federated Assisted Modified Actor-Critic Framework for 6G Networks.
IEEE Trans. Veh. Technol., June, 2025

Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
Toward a Sustainable Internet of Underwater Things Based on AUVs, SWIPT, and Reinforcement Learning.
IEEE Internet Things J., 2024

2023
Coverage and throughput analysis of an energy efficient UAV base station positioning scheme.
Comput. Networks, August, 2023

Context-aware handover skipping for train passengers in next generation wireless networks.
J. Commun. Networks, June, 2023

FAMAC: A Federated Assisted Modified Actor-Critic Framework for Secured Energy Saving in 5G and Beyond Networks.
CoRR, 2023

Reconfigurable Intelligent Surface-Assisted Cross-Layer Authentication for Secure and Efficient Vehicular Communications.
CoRR, 2023

AI-enabled CSI fingerprinting for indoor localisation towards context-aware networking in 6G.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

2022
A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks.
Phys. Commun., 2022

A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches.
CoRR, 2022

Revenue Maximization Through Cell Switching and Spectrum Leasing in 5G HetNets.
IEEE Access, 2022

2021
A Survey of Machine Learning Applications to Handover Management in 5G and Beyond.
IEEE Access, 2021

2020
Intelligent handover decision scheme using double deep reinforcement learning.
Phys. Commun., 2020

Energy Optimisation through Path Selection for Underwater Wireless Sensor Networks.
Proceedings of the 2020 International Conference on UK-China Emerging Technologies, 2020

Multi-User Position Based on Trajectories-Aware Handover Strategy for Base Station Selection with Multi-Agent Learning.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019
Handover Management in Dense Networks with Coverage Prediction from Sparse Networks.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Coverage Analysis for Indoor-Outdoor Coexistence for Millimetre-Wave Communication.
Proceedings of the UK/China Emerging Technologies, 2019


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