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Marvin Manalastas
Marvin Manalastas
Graduate Research Assistant, University of Oklahoma
在 ou.edu 的电子邮件经过验证
标题
引用次数
年份
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
32023
A Data Driven Framework for QoE-Aware Intelligent EN-DC Activation
SMA Zaidi, M Manalastas, MUB Farooq, H Qureshi, A Abu-Dayya, A Imran
IEEE Transactions on Vehicular Technology 72 (2), 2381-2394, 2022
2022
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
92022
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
112022
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
182020
AI-Assisted Joint Search Approach for mmWave Cell Discovery Using Sparse MDT Data
SMA Zaidi, H Qureshi, M Manalastas, A Abu-Dayya, A Rizwan, A Imran
IEEE Transactions on Vehicular Technology, 2023
2023
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
72020
Ai-Powered Resilience: A Dual-Approach for Outage Management in Dense Cellular Networks
W Raza, MUB Farooq, A Ijaz, M Manalastas, A Imran
Available at SSRN 4740326, 0
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
An Analytical Model to Quantify the Effect of Handover and Cell Density on SINR in Emerging Cellular Networks
SMA Zaidi, M Manalastas, A Imran
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), 897-898, 2023
2023
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
26*2022
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
2022
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
Design considerations and deployment challenges for TurboRAN 5G and beyond testbed
M Manalastas, M Nabeel, A Ijaz, SMA Zaidi, U Masood, HN Qureshi, ...
IEEE Access 10, 39810-39824, 2022
12022
Holistic Mobility Management leveraging Risk Averse Reinforcement Learning
MUB Farooq, SK Kasi, M Manalastas, C Zhu, B Sheen, A Imran
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
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
122022
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
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
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
612020
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