Marvin Manalastas
Orcid: 0000-0002-9067-9146
According to our database1,
Marvin Manalastas
authored at least 23 papers
between 2020 and 2024.
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Bibliography
2024
An AI-Enabled Framework to Defend Ingenious MDT-Based Attacks on the Emerging Zero Touch Cellular Networks.
IEEE Netw., January, 2024
2023
Toward the Development of 6G System Level Simulators: Addressing the Computational Complexity Challenge.
IEEE Wirel. Commun., December, 2023
IEEE Trans. Veh. Technol., December, 2023
5G-Enabled Healthcare in Mobile Scenarios: Challenges and Implementation Considerations.
IEEE Netw., November, 2023
IEEE Trans. Veh. Technol., February, 2023
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
CoRR, 2023
Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
IEEE Commun. Surv. Tutorials, 2023
An Analytical Model to Quantify the Effect of Handover and Cell Density on SINR in Emerging Cellular Networks.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
Machine Learning-Based Handover Failure Prediction Model for Handover Success Rate Improvement in 5G.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023
2022
A Data-Driven Framework for Inter-Frequency Handover Failure Prediction and Mitigation.
IEEE Trans. Veh. Technol., 2022
A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks.
IEEE Trans. Cogn. Commun. Netw., 2022
Service Level Agreements for 5G-Enabled Healthcare Systems: Challenges and Considerations.
IEEE Netw., 2022
IEEE Access, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on E-health Networking, 2022
2021
Service Level Agreements for 5G and Beyond: Overview, Challenges and Enablers of 5G-Healthcare Systems.
IEEE Access, 2021
2020
Mobility Management in Emerging Ultra-Dense Cellular Networks: A Survey, Outlook, and Future Research Directions.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the IEEE Global Communications Conference, 2020
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Multi-band Networks.
Proceedings of the IEEE Global Communications Conference, 2020
Where to Go Next?: A Realistic Evaluation of AI-Assisted Mobility Predictors for HetNets.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020
A Machine Learning based Framework for KPI Maximization in Emerging Networks using Mobility Parameters.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2020