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AL-SENWI Madyan Abdullah Othman

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

ORCID
0000-0002-4965-2507
Main Referenced Co-authors
CHATZINOTAS, Symeon  (8)
LAGUNAS, Eva  (8)
QUEROL, Jorge  (4)
AL-ANSI, Mohammed  (2)
Tun, Yan Kyaw (2)
Main Referenced Keywords
Computer Networks and Communications (2); Electrical and Electronic Engineering (2); 3GPP (1); 5G NR (1); 5g NR (1);
Main Referenced Disciplines
Computer science (6)
Electrical & electronics engineering (3)

Publications (total 9)

The most downloaded
591 downloads
AL-SENWI, M. A. O., LAGUNAS, E., & CHATZINOTAS, S. (2023). Robust Beamforming for Massive MIMO LEO Satellite Communications: A Risk-Aware Learning Framework. IEEE Transactions on Vehicular Technology. doi:10.1109/TVT.2023.3338065 https://hdl.handle.net/10993/58279

The most cited

12 citations (Scopus®)

Amatetti, C., AL-SENWI, M. A. O., Chougrani, H., Vanelli-Coralli, A., & Palattella, M. R. (May 2024). A Novel Twofold Approach to Enhance NB-IoT MAC Procedure in NTN. IEEE Journal on Selected Areas In Communications, 42 (5), 1453 - 1464. doi:10.1109/JSAC.2024.3365868 https://hdl.handle.net/10993/67366

AL-SENWI, M. A. O., LAGUNAS, E., QUEROL, J., AL-ANSI, M., TRAN DINH, H., Tun, Y. K., & CHATZINOTAS, S. (2025). Optimized Satellite Participation in Federated Learning over LEO Constellation Networks. In Proceedings of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2025). United States: IEEE.
Peer reviewed

AL-SENWI, M. A. O., LAGUNAS, E., QUEROL, J., Tun, Y. K., & CHATZINOTAS, S. (2025). Intelligent Multi-Connectivity and Resource Allocation Framework for LEO Satellite Networks. In Proceedings of the IEEE Global Communications Conference (GLOBECOM 2025). United States: IEEE.
Peer reviewed

AL-SENWI, M. A. O., LAGUNAS, E., QUEROL, J., Kyaw Tun, Y., & CHATZINOTAS, S. (20 December 2024). Resource Allocation Under Uncertainty in LEO Satellite Constellation Networks [Paper presentation]. IEEE Wireless Communications and Networking Conference (WCNC), Italy.
Peer reviewed

AL-SENWI, M. A. O., LAGUNAS, E., QUEROL, J., AL-ANSI, M., & CHATZINOTAS, S. (2024). Flexible Synchronous Federated Learning Approach for LEO Satellite Constellation Networks. In Flexible Synchronous Federated Learning Approach for LEO Satellite Constellation Networks. Washington, United States: IEEE.
Peer reviewed

Amatetti, C., AL-SENWI, M. A. O., Chougrani, H., Vanelli-Coralli, A., & Palattella, M. R. (May 2024). A Novel Twofold Approach to Enhance NB-IoT MAC Procedure in NTN. IEEE Journal on Selected Areas In Communications, 42 (5), 1453 - 1464. doi:10.1109/JSAC.2024.3365868
Peer Reviewed verified by ORBi

AL-SENWI, M. A. O., LAGUNAS, E., & CHATZINOTAS, S. (2024). Distributed Learning Framework for eMBB-URLLC Multiplexing in Open Radio Access Networks. IEEE Transactions on Network and Service Management, 21 (5), 5718 - 5732. doi:10.1109/TNSM.2024.3451295
Peer Reviewed verified by ORBi

AL-SENWI, M. A. O., LAGUNAS, E., & CHATZINOTAS, S. (2023). Robust Beamforming for Massive MIMO LEO Satellite Communications: A Risk-Aware Learning Framework. IEEE Transactions on Vehicular Technology. doi:10.1109/TVT.2023.3338065
Peer Reviewed verified by ORBi

AL-SENWI, M. A. O., LAGUNAS, E., Al-Hraishawi, H., & CHATZINOTAS, S. (2023). CVaR-based Robust Beamforming Framework for Massive MIMO LEO Satellite Communications. In IEEE Global Communications Conference (IEEE Globecom), Kuala Lumpur, Malaysia, Dec. 2023. IEEE.
Peer reviewed

AL-SENWI, M. A. O., LAGUNAS, E., & CHATZINOTAS, S. (2022). Coexistence of eMBB and URLLC in Open Radio Access Networks: A Distributed Learning Framework. In IEEE Global Communications Conference (IEEE Globecom), Rio de Janeiro, Brazil, Dec. 2022.
Peer reviewed

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