Michael S. Mollel

According to our database, Michael S. Mollel authored at least 21 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Energy-Efficient Hierarchical Federated Anomaly Detection for the Internet of Underwater Things via Selective Cooperative Aggregation.

Kenechi G. Omeke, Michael S. Mollel, Lei Zhang, Qammer H. Abbasi, Muhammad Ali Imran

CoRR, March, 2026

Machine Learning for the Internet of Underwater Things: From Fundamentals to Implementation.

Kenechi G. Omeke, Attai Ibrahim Abubakar, Michael S. Mollel, Lei Zhang, Qammer H. Abbasi, Muhammad Ali Imran

CoRR, March, 2026

RFSensingGPT: A Multi-Modal RAG-Enhanced Framework for Integrated Sensing and Communications Intelligence in 6G Networks.

Muhammad Zakir Khan, Yao Ge, Michael S. Mollel, Julie A. McCann, Qammer H. Abbasi, Muhammad Imran

IEEE Trans. Cogn. Commun. Netw., 2026

AfriMMT-EA: Multi-domain Machine Translation for Low-Resource East African Languages.

Naome A. Etori, Kelechi Ezema, Nathaniel Romney Robinson, Davis David, Alfred Malengo Kondoro, Elisha Ondieki Makori, Michael S. Mollel, Maria L. Gini

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

A Secured Energy Saving With Federated Assisted Modified Actor-Critic Framework for 6G Networks.

Attai Ibrahim Abubakar, Michael S. Mollel, Metin Öztürk, Naeem Ramzan

IEEE Trans. Veh. Technol., June, 2025

Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond.

Mardhiyah Sanni, Tassallah Abdullahi, Devendra Deepak Kayande, Emmanuel Ayodele, Naome A. Etori, Michael S. Mollel, Moshood Yekini, Chibuzor Okocha, Lukman E. Ismaila, Folafunmi Omofoye, Boluwatife Adeleye Adewale, Tobi Olatunji

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.

Kenechi G. Omeke, Michael S. Mollel, Syed Tariq Shah, Lei Zhang, Qammer H. Abbasi, Muhammad Ali Imran

IEEE Internet Things J., 2024

2023

Coverage and throughput analysis of an energy efficient UAV base station positioning scheme.

Attai Ibrahim Abubakar, Michael S. Mollel, Oluwakayode Onireti, Metin Öztürk, Iftikhar Ahmad, Syed Muhammad Asad, Yusuf A. Sambo, Ahmed Zoha, Sajjad Hussain, Muhammad Ali Imran

Comput. Networks, August, 2023

Context-aware handover skipping for train passengers in next generation wireless networks.

Syed Muhammad Asad, Paulo Valente Klaine, Rao Naveed Bin Rais, Michael S. Mollel, Sajjad Hussain, Qammer H. Abbasi, Muhammad Ali Imran

J. Commun. Networks, June, 2023

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

Attai Ibrahim Abubakar, Michael S. Mollel, Naeem Ramzan

CoRR, 2023

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

Mahmoud A. Shawky, Syed Tariq Shah, Michael S. Mollel, Jalil Ur Rehman Kazim, Muhammad Ali Imran, Qammer H. Abbasi, Shuja Ansari, Ahmad Taha

CoRR, 2023

AI-enabled CSI fingerprinting for indoor localisation towards context-aware networking in 6G.

Jaspreet Kaur, Mahmoud A. Shawky, Michael S. Mollel, Olaoluwa R. Popoola, Muhammad Ali Imran, Qammer H. Abbasi, Hasan T. Abbas

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.

Attai Ibrahim Abubakar, Michael S. Mollel, Metin Öztürk, Sajjad Hussain, Muhammad Ali Imran

Phys. Commun., 2022

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

Attai Ibrahim Abubakar, Iftikhar Ahmad, Kenechi G. Omeke, Metin Öztürk, Cihat Öztürk, Ali Makine Abdel-Salam, Michael S. Mollel, Qammer H. Abbasi, Sajjad Hussain, Muhammad Ali Imran

CoRR, 2022

Revenue Maximization Through Cell Switching and Spectrum Leasing in 5G HetNets.

Attai Ibrahim Abubakar, Cihat Öztürk, Metin Öztürk, Michael S. Mollel, Syed Muhammad Asad, Naveed Ul Hassan, Sajjad Hussain, Muhammad Ali Imran

IEEE Access, 2022

2021

A Survey of Machine Learning Applications to Handover Management in 5G and Beyond.

Michael S. Mollel, Attai Ibrahim Abubakar, Metin Öztürk, Shubi Felix Kaijage, Michael Kisangiri, Sajjad Hussain, Muhammad Ali Imran, Qammer H. Abbasi

IEEE Access, 2021

2020

Intelligent handover decision scheme using double deep reinforcement learning.

Michael S. Mollel, Attai Ibrahim Abubakar, Metin Öztürk, Shubi Felix Kaijage, Michael Kisangiri, Ahmed Zoha, Muhammad Ali Imran, Qammer H. Abbasi

Phys. Commun., 2020

Energy Optimisation through Path Selection for Underwater Wireless Sensor Networks.

Kenechi G. Omeke, Michael S. Mollel, Lei Zhang, Qammer H. Abbasi, Muhammad Ali Imran

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.

Michael S. Mollel, Shubi Felix Kaijage, Michael Kisangiri, Muhammad Ali Imran, Qammer H. Abbasi

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

Handover Management in Dense Networks with Coverage Prediction from Sparse Networks.

Michael S. Mollel, Metin Öztürk, Michael Kisangiri, Shubi Felix Kaijage, Oluwakayode Onireti, Muhammad Ali Imran, Qammer H. Abbasi

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Coverage Analysis for Indoor-Outdoor Coexistence for Millimetre-Wave Communication.

Aysenur Turkmen, Michael S. Mollel, Metin Öztürk, Yao Sun, Lei Zhang, Rami Ghannam, Muhammad Ali Imran

Proceedings of the UK/China Emerging Technologies, 2019