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Marvin Manalastas
Marvin Manalastas
Graduate Research Assistant, University of Oklahoma
Verified email at ou.edu
Title
Cited by
Cited by
Year
Mobility management in emerging ultra-dense cellular networks: A survey, outlook, and future research directions
SMA Zaidi, M Manalastas, H Farooq, A Imran
IEEE Access 8, 183505-183533, 2020
562020
Service level agreements for 5G and beyond: overview, challenges and enablers of 5G-healthcare systems
HN Qureshi, M Manalastas, SMA Zaidi, A Imran, MO Al Kalaa
IEEE Access 9, 1044-1061, 2020
552020
SyntheticNET: A 3GPP compliant simulator for AI enabled 5G and beyond
SMA Zaidi, M Manalastas, H Farooq, A Imran
IEEE Access 8, 82938-82950, 2020
352020
Communication Requirements in 5G-Enabled Healthcare Applications: Review and Considerations. Healthcare 2022, 10, 293
HN Qureshi, M Manalastas, A Ijaz, A Imran, Y Liu, MO Al Kalaa
Cybersecurity and the Digital Health, 25, 2022
23*2022
A machine learning based framework for KPI maximization in emerging networks using mobility parameters
J Shodamola, U Masood, M Manalastas, A Imran
2020 IEEE International Black Sea Conference on Communications and …, 2020
152020
Where to go next?: A realistic evaluation of AI-assisted mobility predictors for HetNets
M Manalastas, H Farooq, SMA Zaidi, A Imran
2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC …, 2020
122020
Data driven optimization of inter-frequency mobility parameters for emerging multi-band networks
MUB Farooq, M Manalastas, W Raza, A Ijaz, SMA Zaidi, A Abu-Dayya, ...
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
112020
Machine learning aided holistic handover optimization for emerging networks
MUB Farooq, M Manalastas, SMA Zaidi, A Abu-Dayya, A Imran
ICC 2022-IEEE International Conference on Communications, 710-715, 2022
102022
A data-driven self-optimization solution for inter-frequency mobility parameters in emerging networks
MUB Farooq, M Manalastas, W Raza, SMA Zaidi, A Rizwan, A Abu-Dayya, ...
IEEE Transactions on Cognitive Communications and Networking 8 (2), 570-583, 2022
92022
Service level agreements for 5g-enabled healthcare systems: Challenges and considerations
HN Qureshi, M Manalastas, A Imran, MO Al Kalaa
IEEE network 36 (1), 181-188, 2021
92021
A data-driven framework for inter-frequency handover failure prediction and mitigation
M Manalastas, MUB Farooq, SMA Zaidi, A Abu-Dayya, A Imran
IEEE Transactions on Vehicular Technology 71 (6), 6158-6172, 2022
72022
Ai-assisted rlf avoidance for smart en-dc activation
SMA Zaidi, M Manalastas, A Abu-Dayya, A Imran
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
62020
Towards addressing training data scarcity challenge in emerging radio access networks: A survey and framework
HN Qureshi, U Masood, M Manalastas, SMA Zaidi, H Farooq, J Forgeat, ...
IEEE Communications Surveys & Tutorials, 2023
52023
Machine learning-based handover failure prediction model for handover success rate improvement in 5g
M Manalastas, MUB Farooq, SMA Zaidi, A Ijaz, W Raza, A Imran
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 684-685, 2023
52023
Investigating handover behavior with 5G and beyond TurboRAN testbed
M Nabeel, M Manalastas, A Ijaz, H Refai, A Imran
2022 Seventh International Conference On Mobile And Secure Services …, 2022
42022
Realistic modeling of handover events in a multi-carrier 5G network: A preliminary step towards COP-KPI relationship realization
M Manalastas
42020
Toward the Development of 6G System Level Simulators: Addressing the Computational Complexity Challenge
M Manalastas, MU bin Farooq, SMA Zaidi, A Imran
IEEE Wireless Communications 30 (6), 160-168, 2023
12023
An AI-enabled framework to defend ingenious MDT-based attacks on the emerging zero touch cellular networks
A Ijaz, W Raza, H Farooq, M Manalastas, A Imran
IEEE Network, 2023
12023
5G-Enabled Healthcare in Mobile Scenarios: Challenges and Implementation Considerations
HN Qureshi, M Manalastas, MUB Farooq, A Imran, Y Liu, MO Al Kalaa
IEEE Network, 2023
12023
MDT-based Intelligent Route Selection for 5G-Enabled Connected Ambulances
MUB Farooq, M Manalastas, H Qureshi, Y Liu, A Imran, MO Al Kalaa
2022 IEEE International Conference on E-health Networking, Application …, 2022
12022
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