| 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 | 44 | 2020 |
| 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 | 43 | 2020 |
| 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 | 30 | 2020 |
| 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 | 15* | 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 | 12 | 2020 |
| 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 | 10 | 2020 |
| 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 | 10 | 2020 |
| 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 | 7 | 2022 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 2022 |
| Realistic modeling of handover events in a multi-carrier 5G network: A preliminary step towards COP-KPI relationship realization M Manalastas | 4 | 2020 |
| 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 | 3 | 2023 |
| 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 | 3 | 2022 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 |
| Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework H Naeem Qureshi, U Masood, M Manalastas, SM Asad Zaidi, H Farooq, ... arXiv e-prints, arXiv: 2304.12480, 2023 | | 2023 |
Asad ZaidiAI/ML based Intelligent RF Optimization Engineer at T-Mobile/MobileComm在 mcpsinc.com 的电子邮件经过验证
Asad ZaidiAI/ML based Intelligent RF Optimization Engineer at T-Mobile/MobileComm在 mcpsinc.com 的电子邮件经过验证
Muhammad Umar Bin FarooqUniversity of Oklahoma在 ou.edu 的电子邮件经过验证